m-newhauser
commited on
Commit
•
f567dcc
1
Parent(s):
915e094
Add SetFit model
Browse files- 1_Pooling/config.json +10 -0
- README.md +575 -0
- config.json +31 -0
- config_sentence_transformers.json +10 -0
- config_setfit.json +4 -0
- model.safetensors +3 -0
- model_head.pkl +3 -0
- modules.json +20 -0
- sentence_bert_config.json +4 -0
- special_tokens_map.json +37 -0
- tokenizer.json +0 -0
- tokenizer_config.json +57 -0
- vocab.txt +0 -0
1_Pooling/config.json
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{
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"word_embedding_dimension": 384,
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"pooling_mode_cls_token": true,
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"pooling_mode_mean_tokens": false,
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"pooling_mode_max_tokens": false,
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"pooling_mode_mean_sqrt_len_tokens": false,
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"pooling_mode_weightedmean_tokens": false,
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"pooling_mode_lasttoken": false,
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"include_prompt": true
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}
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README.md
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1 |
+
---
|
2 |
+
library_name: setfit
|
3 |
+
tags:
|
4 |
+
- setfit
|
5 |
+
- sentence-transformers
|
6 |
+
- text-classification
|
7 |
+
- generated_from_setfit_trainer
|
8 |
+
base_model: BAAI/bge-small-en-v1.5
|
9 |
+
metrics:
|
10 |
+
- accuracy
|
11 |
+
widget:
|
12 |
+
- text: 'Senior Software Engineer (Ref #001135) - At Wells Fargo, we want to satisfy
|
13 |
+
our customers'' financial needs and help them succeed financially. We''re looking
|
14 |
+
for talented people who will put our customers at the center of everything we
|
15 |
+
do. Join our diverse and inclusive team where you''ll feel valued and inspired
|
16 |
+
to contribute your unique skills and experience.
|
17 |
+
|
18 |
+
|
19 |
+
Help us build a better Wells Fargo. It all begins with outstanding talent. It
|
20 |
+
all begins with you.
|
21 |
+
|
22 |
+
|
23 |
+
Wells Fargo Technology sets IT strategy; enhances the design, development, and
|
24 |
+
operations of our systems; optimizes the Wells Fargo infrastructure footprint;
|
25 |
+
provides information security; and enables continuous banking access through in-store,
|
26 |
+
online, ATM, and other channels to Wells Fargo''s more than 70 million global
|
27 |
+
customers.
|
28 |
+
|
29 |
+
|
30 |
+
Wells Fargo Bank N.A. seeks a Senior Software Engineer in Charlotte, NC.
|
31 |
+
|
32 |
+
|
33 |
+
Job Role and Responsibility: Drive the development and delivery for automating
|
34 |
+
application modules. Responsible for coordinating the implementation of the FLEXCUBE
|
35 |
+
Global Branch Foundations'' Account Services and Treasury Management Platform
|
36 |
+
for International Operations. Provide Subject Matter Expertise in the development
|
37 |
+
and design of architecture and business functions for FLEXCUBE Global Branch Foundation
|
38 |
+
and Treasury Management. Support the Configuration, Testing, Data Migration design
|
39 |
+
and Production Install activities. Work with partners to establish and maintain
|
40 |
+
a consistent automation methodology, including for end-to-end testing. Identify,
|
41 |
+
evaluate and resolve highly complex automation issues. Partner with stakeholders
|
42 |
+
both within and outside of technology on assigned projects. Telecommuting is permitted
|
43 |
+
up to 2 days a week. Position must appear in person to the location listed as
|
44 |
+
the work address.
|
45 |
+
|
46 |
+
|
47 |
+
Travel required: None.
|
48 |
+
|
49 |
+
|
50 |
+
Required Qualifications: Position requires a Bachelor''s degree in Applied Computer
|
51 |
+
Science, Computer Application, Computer Information Systems, Computer Science,
|
52 |
+
Computer Engineering, or related technical field plus Eight (8) years of experience
|
53 |
+
in the job offered or in a related position involving software development.
|
54 |
+
|
55 |
+
|
56 |
+
Specific Skills Required
|
57 |
+
|
58 |
+
|
59 |
+
5 years of PL/SQL experience5 years of experience designing, developing, and implementing
|
60 |
+
Oracle database solutions5 years of financial industry experience5 years of experience
|
61 |
+
integrating or supporting Oracle''s Flexcube banking application5 years of DevOps
|
62 |
+
experience5 years of experience with SeleniumExperience with international banking
|
63 |
+
branch products and processesExperience with JavaExperience with JunitExperience
|
64 |
+
with MicroservicesExperience with Performance TestingExperience with SwiftExperience
|
65 |
+
with GIT/JenkinsExperience with SOAP and REST web servicesExperience with Spring
|
66 |
+
FrameworkExperience with CucumberExperience with XML.
|
67 |
+
|
68 |
+
|
69 |
+
Qualified applicants send resume to: [email protected] and reference
|
70 |
+
Requisition #001135 in the subject line.
|
71 |
+
|
72 |
+
|
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+
Posting End Date
|
74 |
+
|
75 |
+
|
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2 May 2024
|
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+
|
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+
|
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Job posting may come down early due to volume of applicants.
|
80 |
+
|
81 |
+
|
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+
We Value Diversity
|
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+
|
84 |
+
|
85 |
+
At Wells Fargo, we believe in diversity, equity and inclusion in the workplace;
|
86 |
+
accordingly, we welcome applications for employment from all qualified candidates,
|
87 |
+
regardless of race, color, gender, national origin, religion, age, sexual orientation,
|
88 |
+
gender identity, gender expression, genetic information, individuals with disabilities,
|
89 |
+
pregnancy, marital status, status as a protected veteran or any other status protected
|
90 |
+
by applicable law.
|
91 |
+
|
92 |
+
|
93 |
+
Employees support our focus on building strong customer relationships balanced
|
94 |
+
with a strong risk mitigating and compliance-driven culture which firmly establishes
|
95 |
+
those disciplines as critical to the success of our customers and company. They
|
96 |
+
are accountable for execution of all applicable risk programs (Credit, Market,
|
97 |
+
Financial Crimes, Operational, Regulatory Compliance), which includes effectively
|
98 |
+
following and adhering to applicable Wells Fargo policies and procedures, appropriately
|
99 |
+
fulfilling risk and compliance obligations, timely and effective escalation and
|
100 |
+
remediation of issues, and making sound risk decisions. There is emphasis on proactive
|
101 |
+
monitoring, governance, risk identification and escalation, as well as making
|
102 |
+
sound risk decisions commensurate with the business unit''s risk appetite and
|
103 |
+
all risk and compliance program requirements.
|
104 |
+
|
105 |
+
|
106 |
+
Candidates applying to job openings posted in US: All qualified applicants will
|
107 |
+
receive consideration for employment without regard to race, color, religion,
|
108 |
+
sex, sexual orientation, gender identity, national origin, disability, status
|
109 |
+
as a protected veteran, or any other legally protected characteristic.
|
110 |
+
|
111 |
+
|
112 |
+
Candidates applying to job openings posted in Canada: Applications for employment
|
113 |
+
are encouraged from all qualified candidates, including women, persons with disabilities,
|
114 |
+
aboriginal peoples and visible minorities. Accommodation for applicants with disabilities
|
115 |
+
is available upon request in connection with the recruitment process.
|
116 |
+
|
117 |
+
|
118 |
+
Applicants With Disabilities
|
119 |
+
|
120 |
+
|
121 |
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To request a medical accommodation during the application or interview process,
|
122 |
+
visit Disability Inclusion at Wells Fargo .
|
123 |
+
|
124 |
+
|
125 |
+
Drug and Alcohol Policy
|
126 |
+
|
127 |
+
|
128 |
+
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy
|
129 |
+
to learn more.
|
130 |
+
|
131 |
+
|
132 |
+
Reference Number
|
133 |
+
|
134 |
+
|
135 |
+
R-361641,'
|
136 |
+
- text: 'Data Scientist - AI Investment - Are you interested in revolutionising the
|
137 |
+
future of AI investment?
|
138 |
+
|
139 |
+
My client is looking for a data scientist to tackle intricate business challenges
|
140 |
+
through advanced analytics and machine learning techniques.
|
141 |
+
|
142 |
+
You will take charge of both technical prowess, overseeing the creation, implementation,
|
143 |
+
and upkeep of sophisticated machine learning models and algorithms, including
|
144 |
+
extensive language models.
|
145 |
+
|
146 |
+
This role offers an exceptional chance to make a substantial impact and establish
|
147 |
+
yourself as a visionary in the realms of data science and AI.
|
148 |
+
|
149 |
+
Responsibilities:You''ll spearhead the development and implementation of groundbreaking
|
150 |
+
AI and data science solutions.Steering the strategic path of the data science
|
151 |
+
community, remaining at the forefront of applied AI and AI research.Effectively
|
152 |
+
communicating with stakeholders and influencing decision-making.Overseeing project
|
153 |
+
delivery from inception to deployment, ensuring alignment with business goals.Identifying
|
154 |
+
and integrating state-of-the-art technologies, tools, and methodologies to drive
|
155 |
+
value through cost reduction, revenue generation, or enhanced customer experience.
|
156 |
+
|
157 |
+
Requirements:Proven AI research in finance industry. Ideally published with multiple
|
158 |
+
citations. Ph.D./Masters/Bachelor''s degree in computer science, mathematics,
|
159 |
+
statistics, engineering, or relevant field from a top 10 university in the US
|
160 |
+
or equivalent. Proficiency in key data science tools and methodologies, including
|
161 |
+
Python, PyTorch, TensorFlow, Jax, Numpy, Scikit-learn, time-series forecasting,
|
162 |
+
classification, regression, large-language models, and experiment design.A commitment
|
163 |
+
to staying abreast of the latest advancements in AI research and a drive to continuously
|
164 |
+
push boundaries.Extensive relevant work experience, encompassing a solid grasp
|
165 |
+
of statistical data analysis, machine learning algorithms, and deep learning frameworks.
|
166 |
+
|
167 |
+
Join my client on this thrilling journey and contribute to shaping the future
|
168 |
+
of data science and AI in the investment sector.,'
|
169 |
+
- text: "Accenture Global Alliance Leader - Our Company\n\nAt Teradata, we believe\
|
170 |
+
\ that people thrive when empowered with better information. That’s why we built\
|
171 |
+
\ the most complete cloud analytics and data platform for AI. By delivering harmonized\
|
172 |
+
\ data, trusted AI, and faster innovation, we uplift and empower our customers—and\
|
173 |
+
\ our customers’ customers—to make better, more confident decisions. The world’s\
|
174 |
+
\ top companies across every major industry trust Teradata to improve business\
|
175 |
+
\ performance, enrich customer experiences, and fully integrate data across the\
|
176 |
+
\ enterprise. \n\nWhat You'll Do\n\nAt Teradata, we are leading the data & AI\
|
177 |
+
\ era. As enterprises address today’s digital economy, they are faced with new\
|
178 |
+
\ competition and consumer expectations and are turning to data to power their\
|
179 |
+
\ future. Teradata has worked with the largest companies in the world for 40+\
|
180 |
+
\ years, bringing our experience and expertise to support global enterprises with\
|
181 |
+
\ their most demanding, mission-critical, complex, and large-scale data needs.\
|
182 |
+
\ Teradata is recognized as a leader in the cloud, data, AI and analytics spaces\
|
183 |
+
\ by top analyst firms, Gartner and Forrester, and Fortune Magazine as well. \n\
|
184 |
+
\nOur connected multi-cloud data platform for enterprise analytics, Teradata Vantage™,\
|
185 |
+
\ is an extremely scalable, secure, and resilient offering that simplifies ecosystems\
|
186 |
+
\ by connecting data and making it easier to uncover insights from across the\
|
187 |
+
\ organization…regardless of where that data resides. With Vantage, we enable\
|
188 |
+
\ companies to modernize their data management, from start to scale. Every day,\
|
189 |
+
\ millions of users benefit from our open data platform. Empowering customers\
|
190 |
+
\ and partners to develop and build how they like, we enable hundreds of business\
|
191 |
+
\ outcomes and solutions, including improving customer experience and profitability,\
|
192 |
+
\ driving operational efficiency, realizing financial transformation, or achieving\
|
193 |
+
\ operational efficiency. \n\nAs the world of data grows, we are the leader in\
|
194 |
+
\ enabling the future of connected businesses, powered by data intelligence. We\
|
195 |
+
\ are committed to delivering on this vision by following sustainable business\
|
196 |
+
\ practices and with a strong focus on diversity, equity, and inclusion. We believe\
|
197 |
+
\ that only by embracing diversity of identity, thought, background, expression,\
|
198 |
+
\ and perspective can we solve today’s challenges and reimagine tomorrow’s world.\
|
199 |
+
\ \n\nThis is a unique opportunity to join our team in a period of fast growth\
|
200 |
+
\ and expansion. If you are interested in working in a startup like environment\
|
201 |
+
\ where you can directly influence the future of cloud-based analytics solutions\
|
202 |
+
\ and services, then Teradata is the place for you. You will join a team of business\
|
203 |
+
\ development professionals, cloud experts, and business builders to deploy cloud\
|
204 |
+
\ services and cloud native integrations that bring Teradata’s analytics capabilities\
|
205 |
+
\ to the public cloud platforms. \n\nTeradata is looking for an exceptional leader\
|
206 |
+
\ to grow our business with Accenture globally (75% of the time) as well as with\
|
207 |
+
\ other global SI (25%), with a specific focus on developing Teradata cloud-based\
|
208 |
+
\ offerings and executing strategic go-to-market initiatives that will help our\
|
209 |
+
\ customers achieve their digital future. \n\nThe primary focus for this role\
|
210 |
+
\ will be to own the success of our relationship with Accenture and the secondary\
|
211 |
+
\ focus will be to own the development of new alliances with other Global SI.\
|
212 |
+
\ Those activities will include program management, contract management, funnel\
|
213 |
+
\ management, governance, financial metrics and collaborate cross-functionally\
|
214 |
+
\ with product management on roadmap and supporting the GTM sales teams and regional\
|
215 |
+
\ partner organizations. The Global Alliance Leader is ultimately responsible\
|
216 |
+
\ for attainment of revenue objectives, growth targets as well as having matrix\
|
217 |
+
\ management responsibility for a cross functional sales, services and support\
|
218 |
+
\ organization aligned with annual and long-term strategies to develop, grow and\
|
219 |
+
\ maintain our Alliance with Accenture and other SI. The Global Alliance Leader\
|
220 |
+
\ will also develop and maintain strong collaborative relationships with our Teradata\
|
221 |
+
\ Engineering, Product Management, Marketing, Finance and Services teams in support\
|
222 |
+
\ of tight alignment between the SI and team Teradata. \n\nIf you are a high energy,\
|
223 |
+
\ collaborative individual who can manage multiple touch points, take ownership\
|
224 |
+
\ of the business and create strong relationships across the organization and\
|
225 |
+
\ work collaboratively to support the success of our business within Teradata\
|
226 |
+
\ and the Cloud organization, this is the role for you. \n\nApplicants should\
|
227 |
+
\ have a proven track record in general management of a Global Partner like Accenture.\
|
228 |
+
\ The scope of the role includes identification of new business opportunities\
|
229 |
+
\ with or through the partner, including growth within existing Teradata accounts,\
|
230 |
+
\ management of the relationships and sales engagement process to gain agreement\
|
231 |
+
\ with requisite stakeholders on execution. The applicant will own the relationship\
|
232 |
+
\ with the partner, the business development, support sales and maintain up to\
|
233 |
+
\ date best practices on partnership. The role will require exceptional strategy\
|
234 |
+
\ and interpersonal skills, solid understanding of the Cloud Provider technology\
|
235 |
+
\ & GTM, and a deep understanding of Teradata strategies and business model. This\
|
236 |
+
\ role will report to the VP for System Integrators and Advisors. \n\nResponsibilities\n\
|
237 |
+
\nDevelop, build, maintain and execute the global partner business plan providing\
|
238 |
+
\ focus in generating new revenue. Manage, foster and grow relationships at the\
|
239 |
+
\ executive level with high visibility across all industry sub-segments. Drive\
|
240 |
+
\ increased adoption of Teradata solutions with partners; facilitate communication,\
|
241 |
+
\ enablement, and resource alignment to accelerate growth. Create, develop and\
|
242 |
+
\ execute functional or sector specific initiatives in line with the partner’s\
|
243 |
+
\ and Teradata strategic objectives. Develop an in-depth understanding of the\
|
244 |
+
\ partner’s business objectives and effectively communicate and align with Teradata\
|
245 |
+
\ to drive incremental growth. Develop strong relations and advocates with key\
|
246 |
+
\ decision makers on the partner side as well as internally in Teradata to support\
|
247 |
+
\ growth of our business. Identify new business opportunities with or through\
|
248 |
+
\ the partners, develop plans for how Teradata can leverage these and gain agreement\
|
249 |
+
\ with requisite stakeholders on execution. Develop presentations and materials\
|
250 |
+
\ to support sales with and through partner. Support sales calls and consulting\
|
251 |
+
\ engagements where the partners are involved by maintain up to date best practices\
|
252 |
+
\ on partnership. Achievement of sales and business development objectives associated\
|
253 |
+
\ with driving revenue and new account development and related activities. \n\n\
|
254 |
+
The successful candidate will report directly to the VP, SIs and Advisors. The\
|
255 |
+
\ successful candidate will work from a Teradata facility or virtual and will\
|
256 |
+
\ be expected to travel on business (25-40% travel). \n\nWhat Makes You a Qualified\
|
257 |
+
\ Candidate\n\nA successful candidate should be a strategic thinker, self-starter\
|
258 |
+
\ who is creative and driven. The candidate must possess the ability to lead,\
|
259 |
+
\ advise and advocate for partners. The desired candidate should be innovative\
|
260 |
+
\ and skilled at seizing opportunities and transforming strategy into results.\
|
261 |
+
\ \n\nBS, MBA, or MS in business, technical or professional discipline or equivalent\
|
262 |
+
\ work experience. Highly seasoned professionals with significant experience leading\
|
263 |
+
\ multi-functional teams. Minimum of 10 years of general management / leadership\
|
264 |
+
\ experience and, ideally, similar tenure of global alliances management experience\
|
265 |
+
\ (training/development/performance management of sales/consulting team). Minimum\
|
266 |
+
\ of 5 years of hands-on, Major account, goal ownership experience. Must have\
|
267 |
+
\ the ability to frame ambiguous business opportunities, create structured business\
|
268 |
+
\ recommendations, adapt quickly based on senior stakeholder input and effectively\
|
269 |
+
\ communicate to internal & external leadership teams. \n\nWhat You'll Bring\n\
|
270 |
+
\nStrong understanding of and practical experience in alliance management specifically\
|
271 |
+
\ within high-tech at both a strategic, tactical, and operational level. Enterprise\
|
272 |
+
\ sales leadership experience Partner/customer cloud services strategy development\
|
273 |
+
\ experience Ability to analyse partner business model & financials to develop\
|
274 |
+
\ business models and new revenue streams. Demonstrated ability to motivate &\
|
275 |
+
\ drive sales results through a global v-team. High degree of Executive presence;\
|
276 |
+
\ proven ability and experience to operate effectively at senior management and\
|
277 |
+
\ C-executive levels. Demonstrated ability to quickly gain trust and credibility.\
|
278 |
+
\ Strong Interpersonal and communication skills. Ability to deliver effective\
|
279 |
+
\ diplomatic communications as well as handle sensitive information and materials\
|
280 |
+
\ in a confidential manner. Technical background in databases, enterprise software,\
|
281 |
+
\ and current knowledge of Teradata solutions is desired. Passion to win, entrepreneurial,\
|
282 |
+
\ high energy, collaborative, responsive, and results-driven self-starter. Ability\
|
283 |
+
\ to deal well with change and be a team player, builder, and leader. Excellent\
|
284 |
+
\ presentation skills and confidence \n\n\n\nWhy We Think You’ll Love Teradata\n\
|
285 |
+
\nWe prioritize a people-first culture because we know our people are at the very\
|
286 |
+
\ heart of our success. We embrace a flexible work model because we trust our\
|
287 |
+
\ people to make decisions about how, when, and where they work. We focus on well-being\
|
288 |
+
\ because we care about our people and their ability to thrive both personally\
|
289 |
+
\ and professionally. We are an anti-racist company because our dedication to\
|
290 |
+
\ Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment\
|
291 |
+
\ to doing the work to foster an equitable environment that celebrates people\
|
292 |
+
\ for all of who they are.\n\nTeradata invites all identities and backgrounds\
|
293 |
+
\ in the workplace. We work with deliberation and intent to ensure we are cultivating\
|
294 |
+
\ collaboration and inclusivity across our global organization. We are proud to\
|
295 |
+
\ be an equal opportunity and affirmative action employer. We do not discriminate\
|
296 |
+
\ based upon race, color, ancestry, religion, creed, sex (including pregnancy,\
|
297 |
+
\ childbirth, breastfeeding, or related conditions), national origin, sexual orientation,\
|
298 |
+
\ age, citizenship, marital status, disability, medical condition, genetic information,\
|
299 |
+
\ gender identity or expression, military and veteran status, or any other legally\
|
300 |
+
\ protected status.,"
|
301 |
+
- text: "Manager - Branch 2 - R10041667 Manager - Branch 2 (Open)\n\nLocation:\n\n\
|
302 |
+
St. George, UT - Filling industrial\n\nHow will you CONTRIBUTE and GROW?\n\nPosition\
|
303 |
+
\ Title: Branch Manager\n\nSt. George, UT\n\nMinimal overnight travel for occasional\
|
304 |
+
\ training and meetings\n\nHow will you CONTRIBUTE and GROW?\n\nThe Branch Manager\
|
305 |
+
\ is responsible for all critical issues of the branch, including sales, sales\
|
306 |
+
\ growth, budgeting, gross margins, managing direct reports, and all operational\
|
307 |
+
\ expenses. Other key areas of responsibility include safety, customer service,\
|
308 |
+
\ inventory levels and resolution of personnel issues. Assist outside salespersons\
|
309 |
+
\ in preparing quotes, maintaining all required literature, providing customer\
|
310 |
+
\ follow-up, and gathering sales leads. Schedule and follow-up on deliveries,\
|
311 |
+
\ pre-call customers before scheduled deliveries. Control costs and monitor fiscal\
|
312 |
+
\ performance compared to budget. Maintain a store in a clean and orderly manner.\
|
313 |
+
\ Schedule staffing to ensure excellent customer service at all times.\n\nThis\
|
314 |
+
\ is a full time position with a full benefits package and a Monday through Friday\
|
315 |
+
\ workweek. Airgas values a great work life balance and has unlimited potential\
|
316 |
+
\ for career growth.\n\nIn particular, you will: \n\nEvaluate and monitor day-to-day\
|
317 |
+
\ activities of the branch to ensure cost effective operations and a safe and\
|
318 |
+
\ productive work environment.Establish and maintain clear and consistent lines\
|
319 |
+
\ of communication with direct reports and internal departments relative to customer\
|
320 |
+
\ successes, customer failures, new customer developments and other customer specific\
|
321 |
+
\ informationManages all branch personnel in accordance with company policies\
|
322 |
+
\ by hiring, training, motivating, planning and directing work. Provide performance\
|
323 |
+
\ feedback and development opportunities. Accurately complete and submit all sales-related\
|
324 |
+
\ paperwork (e.g., shippers, invoices, cylinder audits, month-end reports, cash\
|
325 |
+
\ reconciliations, deposits, etc.) in a timely mannerParticipates in the preparation\
|
326 |
+
\ of market and competitor information and annual sales analysis and forecast.Works\
|
327 |
+
\ in accordance with all policies and procedures and rules as prescribed by State,\
|
328 |
+
\ Federal and the Company. \n\n________________________\n\nAre you a MATCH?\n\n\
|
329 |
+
Are you a MATCH? \n\nPrevious management experience in a customer facing environmentAbility\
|
330 |
+
\ to lift up to 75 lbs and occasionally up to 125 lbs with the aid of material\
|
331 |
+
\ handling equipmentProficient computer skillsAbility to handle multiple tasks\
|
332 |
+
\ concurrentlyAbility to work independentlyGood communication skills (verbal and\
|
333 |
+
\ written)\n\nPreferred:\n\n3+ years’ experience in the welding or safety industry5+\
|
334 |
+
\ years’ experience in sales with proven success\n\n_________________________\n\
|
335 |
+
\nYour differences enhance our performance\n\nAt Airgas, we are committed to building\
|
336 |
+
\ a diverse and inclusive workplace that embraces the diversity of our employees,\
|
337 |
+
\ our customers, patients, community stakeholders and cultures across the world.\n\
|
338 |
+
\nWe welcome and consider applications from all qualified applicants, regardless\
|
339 |
+
\ of their race, gender, sexual orientation, religion, disability or any other\
|
340 |
+
\ protected characteristic. We strongly believe a diverse organization opens up\
|
341 |
+
\ opportunities for people to express their talent, both individually and collectively\
|
342 |
+
\ and it helps foster our ability to innovate by living our fundamentals, acting\
|
343 |
+
\ for our success and creating an engaging environment in a changing world.\n\n\
|
344 |
+
_________________________\n\nEqual Employment Opportunity Information\n\nWe are\
|
345 |
+
\ an equal opportunity employer. We evaluate qualified applicants without regard\
|
346 |
+
\ to race, color, religion, sex, sexual orientation, gender identity, national\
|
347 |
+
\ origin, disability, veteran status, or any other protected characteristic.\n\
|
348 |
+
\nPlease click here to view the EEO Know Your Rights poster and here to view the\
|
349 |
+
\ Pay Transparency Nondiscrimination poster. Airgas, an Air Liquide Company invites\
|
350 |
+
\ any applicant and/or employee to review the Company’s written Affirmative Action\
|
351 |
+
\ Plan or Policy Statement. This plan or policy statement is available for inspection\
|
352 |
+
\ upon request.\n\nAirgas, an Air Liquide Company and its group of companies does\
|
353 |
+
\ not discriminate against qualified applicants with disabilities and is committed\
|
354 |
+
\ to providing reasonable accommodations to the known disabilities of such individuals\
|
355 |
+
\ so as to ensure equal access to benefits and privileges of employment. If you\
|
356 |
+
\ are an individual with a disability and would like to request a reasonable accommodation\
|
357 |
+
\ as part of the employment selection process, please contact us by email at [email protected].\n\
|
358 |
+
\n_________________________\n\nCalifornia Privacy Notice,"
|
359 |
+
- text: "Sales Assistant Manager - Rent A Center\n\nReady to do your best work?\n\n\
|
360 |
+
Interested in a starting hourly rate up to $18?\n\nWhy should I apply in just\
|
361 |
+
\ a few clicks? \n\n Paid Time Off and Sundays Off -- We are Closed! Full-Time\
|
362 |
+
\ Employment and a Consistent Schedule Weekly Pay (companywide) Award Winning\
|
363 |
+
\ Culture with the Opportunity to AdvanceBonus potential for Assistant Managers\
|
364 |
+
\ and above Great BenefitsMedicalDentalVisionLife InsuranceSupplemental Life InsuranceSpouse/Dependent\
|
365 |
+
\ Life InsuranceShort Term DisabilityLong Term DisabilityFlexible Spending Accounts401(k)\
|
366 |
+
\ Savings Plan w/company matchPaid Time OffLegal InsuranceIdentity Theft Protection\
|
367 |
+
\ PlanHealth Savings AccountsHospital IndemnityCritical IllnessAccident InsuranceLimited\
|
368 |
+
\ Purpose Plan\nWhat will you do? Provide customers access to high-quality goods\
|
369 |
+
\ that enhance their quality of life. You will do meaningful work and make a difference\
|
370 |
+
\ in our customers' lives!\n\nA day in the life of a Sales Assistant Manager:\n\
|
371 |
+
\n Sales: Responsible for sales growth through completed rental agreements and\
|
372 |
+
\ prospecting new business and customers Customer Service: Provide friendly, top-notch\
|
373 |
+
\ customer experiences through \"white glove\" service with a servant's heart\
|
374 |
+
\ in our stores and in customer's homes Deliveries & Pickups: Opportunity to get\
|
375 |
+
\ out of the store and display a winning spirit through safe and compliant loading/unloading\
|
376 |
+
\ and installation of products, while following all handling and transportation\
|
377 |
+
\ procedures Merchandising: Maintain an inviting store with organized product\
|
378 |
+
\ and cleanliness with both customers and fellow coworkers in mind\n\nWhat are\
|
379 |
+
\ the minimum requirements?\n\n 1-3 years of retail/customer service, sales, or\
|
380 |
+
\ collections experience High school diploma or equivalent Must be at least 18\
|
381 |
+
\ years of age Valid state driver's license and good driving record -- You WILL\
|
382 |
+
\ be driving the company vehicles Ability to lift and move product such as furniture,\
|
383 |
+
\ electronics, and appliances Great communication and customer service skills\n\
|
384 |
+
\nWhat are some additional helpful traits?\n\n Seeking more than just a job, but\
|
385 |
+
\ a CAREER A desire to improve our customer's lives A hunger to learn the business\
|
386 |
+
\ Grit and determination \n\nThis is an excerpt from the full job description\
|
387 |
+
\ and is not intended to be all-inclusive. Other related duties may be required\
|
388 |
+
\ to meet the ongoing needs of the business. Rent-A-Center is committed to creating\
|
389 |
+
\ a diverse and inclusive work environment and is proud to be an equal opportunity\
|
390 |
+
\ employer.,"
|
391 |
+
pipeline_tag: text-classification
|
392 |
+
inference: true
|
393 |
+
model-index:
|
394 |
+
- name: SetFit with BAAI/bge-small-en-v1.5
|
395 |
+
results:
|
396 |
+
- task:
|
397 |
+
type: text-classification
|
398 |
+
name: Text Classification
|
399 |
+
dataset:
|
400 |
+
name: Unknown
|
401 |
+
type: unknown
|
402 |
+
split: test
|
403 |
+
metrics:
|
404 |
+
- type: accuracy
|
405 |
+
value: 0.875
|
406 |
+
name: Accuracy
|
407 |
+
---
|
408 |
+
|
409 |
+
# SetFit with BAAI/bge-small-en-v1.5
|
410 |
+
|
411 |
+
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5) as the Sentence Transformer embedding model. A [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance is used for classification.
|
412 |
+
|
413 |
+
The model has been trained using an efficient few-shot learning technique that involves:
|
414 |
+
|
415 |
+
1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning.
|
416 |
+
2. Training a classification head with features from the fine-tuned Sentence Transformer.
|
417 |
+
|
418 |
+
## Model Details
|
419 |
+
|
420 |
+
### Model Description
|
421 |
+
- **Model Type:** SetFit
|
422 |
+
- **Sentence Transformer body:** [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5)
|
423 |
+
- **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance
|
424 |
+
- **Maximum Sequence Length:** 512 tokens
|
425 |
+
- **Number of Classes:** 2 classes
|
426 |
+
<!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
|
427 |
+
<!-- - **Language:** Unknown -->
|
428 |
+
<!-- - **License:** Unknown -->
|
429 |
+
|
430 |
+
### Model Sources
|
431 |
+
|
432 |
+
- **Repository:** [SetFit on GitHub](https://github.com/huggingface/setfit)
|
433 |
+
- **Paper:** [Efficient Few-Shot Learning Without Prompts](https://arxiv.org/abs/2209.11055)
|
434 |
+
- **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
|
435 |
+
|
436 |
+
### Model Labels
|
437 |
+
| Label | Examples |
|
438 |
+
|:------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
|
439 |
+
| 0 | <ul><li>"Driver Manager - Days - Driver Manager - Olathe, KS\n\nThe role | An Driver Manager is responsible for\n\nLearning the business from the ground up through our hands-on training program that includes exposure to driver and equipment management, customer service, and transportation logistics.Maintaining a high level of engagement and cultivating positive working relationships with your fleet of assigned drivers.Reviewing scheduled pick-up and delivery appointments daily.Confirming that each driver is fully informed of all customer and company expectations on every load at the point of dispatch.Coordinating drivers’ scheduled home time, downtime, current status, and predicted time available.Addressing safety non-conformance and violations/incidents.Escalate matters impacting on-time delivery to appropriate departments as they occur.\n\nCandidates should expect to spend the majority of their day making/receiving calls.\n\nThe requirements | This will be a perfect fit for you if...\n\nSelf-motivated with a desire to learn about the growing transportation industry.Strong multi-tasking ability.You can type at least 40-45 wpm (preferred).Computer proficient and able to navigate between multiple programs.Excellent written and oral communication skills.\n\nThe details | What are the hours, pay, and location? \n\nThis is a full-time, in-office position located in south Olathe, KS.Starting salary of $50,000 + Incentives Schedule: Must be Flexible 5:00a-5:00p.\nThe perks | What's in it for you?\n\nA casual-dress, smoke-free work environmentHealth, dental, life, and disability insurance coverage401(k) plan with company matchPaid time off and additional time each anniversaryDiscounted gym memberships, mobile phone services, tires\n\nJob Type: Full-time\n\nTransAm is committed to the principles of equal employment opportunity and nondiscrimination.,"</li><li>'Senior Scientist, In Vivo Ocular Pharmacology - Description:\n\nJohnson & Johnson is recruiting for a Senior Scientist, Specialty Ophthalmology Discovery located in Spring House PA to support drug discovery of novel therapeutics for retinal disease.\n\nAt Johnson & Johnson,\u202fwe believe health is everything. Our strength in healthcare innovation empowers us to build a\u202fworld where complex diseases are prevented, treated, and cured,\u202fwhere treatments are smarter and less invasive, and\u202fsolutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com/.\u202f\n\nWe are seeking a highly motivated and talented lab-based Senior Scientist to join our Retinal Diseases Discovery team located in Spring House, PA (USA). The successful candidate will join a dynamic, multi-disciplinary team of exploratory scientists and play a key role in the evaluation of new drug concepts using relevant model systems. He/she will use emerging developments in these fields to generate novel target ideas and provide technical and strategic input with the goal of progressing novel drug candidates into translational development. The qualified candidate will work in cross-functional teams, including translational medicine, discovery, biomarker teams, program project teams and disease-specific working groups, to shape a discovery and development strategy for novel drug candidates and will bring forward novel translational animal models and innovative technologies to support the discovery pipeline.\n\nThis role is laboratory-based and requires an established background in retinal cell biology, neuroscience, or metabolism. Responsibilities include the execution of discovery projects to develop new retinal disease therapies and expand the retina portfolio. The selected candidate will contribute to research programs through validation of new targets and design and execution of team-based research to help drive project advancements.\n\nCore Responsibilities\n\nDesign and conduct experiments to support new target validation, analysis, and interpretation of results, with focus on in vivo assays/models to support discovery and translational drug development programs.Establish robust discovery and/or pharmacology data packages aimed at the progression of our differentiated assets into the clinic.Evolve project strategy in collaboration with the core team and functional partners and present scientific progress to discovery translational science, governance and leadership teams.Establish and execute against timelines to enable project progression while working in a fast-paced and highly matrixed environment.Support collaborations with academic investigators, including advising on experimentation and analysis of results, and conducting complementary experiments.Contribute to the preparation and submission of technical reports, patent applications, and manuscripts as appropriate.Ensure compliance with all company training, documentation, and ensure safe laboratory working practices.\n\nQualifications:\n\n A Ph.D. degree in the biological sciences (or equivalent) with 1 year of post-doctoral experience in the pharmaceutical industry or academic environment, or B.S. or M.S. degree in the biological sciences with a minimum of 8 years of experience in relevant pharmaceutical industry setting.Demonstrated experience in vivo studies, especially creation and characterization of animal models of retinal disease. Expertise in performing pharmacological and mechanistic studies in models of eye/ocular disease is highly desired.Established background in cellular and molecular biology and competency with in vitro techniques is preferred.A background in ophthalmic drug discovery and translational models of ocular disease is preferred.Experience with validation of new target concepts is required, with keen knowledge of experimental design, underlying scientific and biological principles, and data analysis and interpretation (i.e., from hypothesis through planning and execution of experiments in support of retinal disease-related programs).Established record of scientific accomplishments directed toward the discovery and development of therapeutic agents, including strong publication record in journals, oral presentations within and outside industry, and participation in professional societies is required.Must be highly motivated, with excellent organizational skills, and capable of working collaboratively in a fast-paced and highly matrixed environment.Ability to forge and foster collaborations (internal and external), deliver scientific content to diverse audiences, and agility and adaptability working across multiple projects is highly desirable.\n\nThe base pay range for this position is $104,000 to $166,750.\n\nThe Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/ performance year. Bonuses are awarded at the Company’s discretion on an individual basis.\n\nEmployees may be eligible to participate in Company employee benefit programs such as health insurance, savings plan, pension plan, disability plan, vacation pay, sick time, holiday pay, and work, personal and family time off in accordance with the terms of the applicable plans. Additional information can be found through the link below.\n\n\u202f\n\nEligible for benefits to include medical, dental, vision and time off as well as any others as provided for in the applicable Collective Bargaining Agreement.\n\nFor additional general information on company benefits, please go to: - https://www.careers.jnj.com/employee-benefits\n\nJohnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.\n\n,'</li><li>"Public Relations Manager - Bullhorn is the global leader in software for the staffing industry. After more than 20 years, more than 10,000 companies rely on Bullhorn’s cloud-based platform to power their staffing processes from start to finish. Led by the original co-founder, partnered with venture capital, and powered by seasoned leaders across a global workforce with an eye toward innovation, Bullhorn has had year over year growth, making it the market leader in the recruitment software space while allowing for new opportunities for over 29% of our employees to advance their careers in the past 12 months.\n\nWe are a remote-first organization and over 38% of our employees reside outside the United States. Headquartered in Boston, we also have offices in London, Brighton, Rotterdam, Frankfurt and Sydney (just in case you’re in the area to stop by). Whether you’re local or remote, our vision is to ensure every employee has a sense of belonging, a voice that is heard, and a clear path for success. Your incredible experience as an employee will consist of flexible work hours to ensure a positive work-life balance and use Zoom, Slack, and other tools to stay connected.\n\nReporting into the Director, Global Content and Communications, the PR / Communications Manager will be responsible for strengthening Bullhorn’s position as a leader in the market, demonstrating our expertise in staffing as well as our growth as a technology business. This role will craft Bullhorn’s point of view on key topics and then work independently and with teammates to get those messages into market through a combination of earned and owned media – all to raise awareness of the business and advance our thought leadership efforts.\n\nA key part of this role will be partnering with our PR agency to identify story angles that highlight Bullhorn’s unique strengths and point of view. Are you obsessed with keeping up with the latest trends in AI? Do you comb the business section of your favourite news outlet trying to parse what broader trends mean to your customers? The Communications Manager needs to have a finger on the pulse of the staffing industry and an interest in tracking the economic and technology trends that will impact it.\n\nAs the lead for Bullhorn’s public relations efforts, this person will also consult with international marketing colleagues on PR efforts in markets outside the U.S.\n\nOccasional (<10%) travel may be required. Ability to work on East Coast hours preferred. Please submit a portfolio or writing samples with your resume.\n\nResponsibilities Include\n\nDeveloping, overseeing, and measuring the performance of Bullhorn’s earned media strategyHandling incoming media inquiries and occasional proactive pitchingManaging PR agency relationshipsManaging executive thought leadership opportunities, including owned contentCultivating a bench of internal experts and customer spokespeopleWriting and editing press releases, bylines, and media comments, when not supported by agencySupporting Bullhorn’s thought leadership strategy by identifying opportunities to publicly promote our GRID research program and other research deliverables\n\nThis Job Might Be a Fit For You If\n\nYou have proven experience in communications or public relations. Agency experience preferred; in-house experience a plus.You’re a strong writer who understands what makes a story compelling and relatable.You have experience working with executives and are comfortable adapting to different communication styles and voices.You have strong stakeholder management skills, can headline challenges and establish priorities, and unlock the power of the group.You thrive in fast-paced settings, with the ability to build relationships remotely.\n\nYou Might Be a Fit For Bullhorn If\n\nYou love working in an agile environment and can roll with the punchesYou take ownership of your work and continuously strive for improvement\n\nWhat We Offer...\n\nBenefits eligibility effective DAY ONE including Medical, Dental, Vision, 401(k), 401(k) Match, and moreUnlimited VacationMental health benefits (EAP & 98point6)Full Access to LinkedIn LearningQuarterly paid volunteer daysLucrative Employee Referral Program (eligible for prior to your first day)Career development opportunities up/across Bullhorn\n\nBullhorn's core purpose is to create an incredible customer experience, which starts with first creating an incredible employee experience. Our vision is for every employee to have a sense of belonging, a voice that is heard, and a clear path for success. We are committed to building diverse and inclusive teams, and our culture is shaped by our five core values: Ownership, Energy, Speed & Agility, Service, and Being Human.\n\nWe’re looking for real-life humans, each with their own unique set of thoughts, beliefs, cultures, identities, and a background and body that is completely individual. We also love humans who have taken less traditional paths of education and believe that experience and learning come in many forms. Together, all these unique individuals make Bullhorn stronger. If you’re reading this, you’re probably applying for/considering applying for a job with us, and we want you to know that Bullhorn is an equal opportunity employer. For us, that means we always have, and will always, strive to be as inclusive as possible in all aspects of employment and that we do not and will not tolerate discrimination of any kind.\n\n,"</li></ul> |
|
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+
| 1 | <ul><li>'Intermediate Data Scientist - The School of Data Science (SDS) at the University of Virginia (UVA) seeks an Intermediate Data Scientist to work in collaboration with Don Brown, PhD and Sana Syed, MD, MS, focusing on understanding gut structure and function in common gastrointestinal (GI) diseases using cutting-edge machine learning and AI methods. The overarching goal of this work is to personalize care for pediatric patients suffering from chronic GI disease by improving diagnostics, predicting future disease complications, and identifying better disease biomarkers and novel drug targets. Details about the Gastro Science Lab and the Syed lab can be found at https://gastrodatasciencelab.org/ and https://med.virginia.edu/sana-syed-lab/.\n\nThis is a one year restricted position continuation is based on the availability of funding and satisfactory performance.\n\nData Scientists provide sophisticated data management and analysis to support University projects or programs. They focus primarily on high-level data projections and statistical analysis. They manage the design and programming of all data entry forms and the training and supervision of project research coders, student workers, and volunteers. They oversee regular assessments of reliability, submit data on a monthly basis, and assist with literature searches pertinent to various research project topics.\n\nThe Successful Candidate Will\n\nWork in a professional manner and have a strong willingness to learn and improve.Promote a culture of excellence by supporting others and generating new ideas to drive the lab forward.Act as a champion for the lab’s research at local, regional, and national conferences.Drive the collection of new data and the refinement of existing data for new purposes.Independently and creatively analyze data to test or refine hypotheses.Explore and examine data from multiple disparate sources in order to identify, analyze, and report trends in the data.Develop and execute of statistical mathematical and predictive models.Visualize and report data findings creatively in a variety of visual formats to support research presentations, manuscripts, and media write-ups.Establish links across existing data sources and find new interesting data correlations.Lead projects in concept formulation, determination of appropriate statistical methodology, data analysis, research evaluation, and final research reporting.Collaborate across faculty and staff to provide actionable data-driven insights.Formulate and define analytic scope and objectives through research and fact-finding as a self-starter.Be a leader of a lab data science team and provide guidance to less experienced data analysts/scientists.\n\nQualifications\n\nMaster\'s Degree and at least 3 years of relevant experience.Strong Organization and time line management skills .Experience in AI/ML modeling approaches such as: metabolic modeling, convolutional neural networks, and Gradient-weighted Class Activation Mapping.Understand all phases of the analytic process including data collection, preparation, modeling, evaluation, and deployment.\n\nAnticipated hiring range: $100,000 - $120,000 / annual\n\nTo Apply\n\nPlease visit UVA job board: https://jobs.virginia.edu and search for “R0056431”\n\nComplete An Application And Attach\n\nCover LetterCurriculum Vitae \n\nPlease note that multiple documents can be uploaded in the box.\n\nINTERNAL APPLICANTS: Please search for "find jobs" on your workday home page and apply using the internal job board.\n\nReview of applications will begin January 22, 2024 and continue until the position is filled.\n\nFor questions about the position, please contact: Adam Greene, Research Program Officer ([email protected]) For questions about the application process, please contact: Rhiannon O\'Coin ([email protected])\n\nFor more information about the School of Data Science, please see www.datascience.virginia.edu\n\nFor more information about the University of Virginia and the Charlottesville community, please see www.virginia.edu/life/charlottesville and www.embarkuva.com\n\nThe selected candidate will be required to complete a background check at the time of the offer per University policy.\n\nPHYSICAL DEMANDS This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.\n\nThe University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person\'s perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.,'</li><li>"Artificial Intelligence Engineer - Company Description Shake - social networking \n Role Description This is a part-time hybrid role for an AI Software Engineer at SHAKE. As an AI Software Engineer, you will be responsible for the day-to-day tasks associated with pattern recognition, computer science, neural networks, software development, and natural language processing (NLP). This role is remote work.\n Qualifications Strong knowledge and experience in pattern recognition, computer science, and neural networksProficiency in software development, with a focus on AI technologiesExperience in natural language processing (NLP)Ability to work independently and remotelyExcellent problem-solving and analytical skillsStrong communication and collaboration skillsMaster's or Ph.D. in Computer Science, AI, or related fieldsRelevant industry certifications (e.g., TensorFlow, PyTorch) are a plus,"</li><li>'Senior Staff Data Scientist (Remote) - Company Description\n\nVericast is a big data company. We receive on average over 100 billion intent signals daily, which assist in generating a deep understanding of a person’s interest and in-market signals across 1,300 interest topics. This is coupled with strong geographic targeting, as over 30 billion location signals are collected daily from over one million retail stores and over 120 million households.\n\nData Science plays a crucial role in delivering our solutions today and will play a more prominent role in our future. A typical data science project has a solid mathematical foundation, an exploratory dimension, and a data-driven workflow. This is also true at Vericast. Our data science projects have strong foundations on machine learning, data engineering, and modeling. We are building a privacy-centric future of digital advertising by focusing on web content. We are connecting web content to consumer interest and action, ultimately driving which ads are shown on a webpage.\n\nTo continue our journey, we are seeking data science experts who are passionate about using cutting edge technology and conceiving innovative methods to solve unique and complex problems. As a Senior Staff Data Scientist at Vericast, your contributions will help us stay at the forefront of the AdTech industry.\n\nJob Description\n\nA Senior Staff Data Scientist is a hands-on expert who is passionate about all aspects of data science and can contribute by designing, conducting, and incorporating analyses of large-scale data from a wide variety of sources. This involves converting ambiguous requirements to concrete solutions for exploring data, designing and/or applying appropriate algorithms, documenting the findings, and incorporating the analysis into end-to-end solutions, systems, and platforms. Effective communication with other job disciplines is required. Contributions are expected at a level of results above and beyond entry-level and mid-level Data Scientists.\n\nKey Duties & Responsibilities\n\nHave a wider impact by providing insights and effective leadership into data science, digital media, and data engineering. This individual will have the hands-on skills to be an individual contributor and the experience for mentoring and leading other data scientists (25%)Act often as a technical lead, determining approach, objectives, requirements, features, milestones, implementation tasks, and tradeoffs of end-to-end large scale data science projects, platforms, and systems (25%)Act as a subject matter expert in data science (ML/AI) algorithms and underlying technologies (programming languages and systems) (15%)Design, conduct, and incorporate analyses of large-scale data from a wide variety of sources (15%)Work within the scrum practices in team projects (10%)Contribute to hiring process by screening higher level candidates, team interviews, manager candidates, i.e., act as a "Bar Raiser" (10%)\n\nQualifications\n\nEducation\n\nBachelor\'s Degree in a quantitative discipline (Computer Science, Mathematics, Engineering, Statistics) (Required)Master\'s Degree in a quantitative discipline (Computer Science, Mathematics, Engineering, Statistics) (Desired)Doctorate Degree (Preferred)In lieu of the above education requirements, a combination of experience and education will be considered.\n\nExperience\n\n8 - 10 years Relevant Experience (Required)\n\nKnowledge/Skills/Abilities\n\nStrong analytical skills, with expertise and solid understanding of multiple statistical/analytical machine learning techniques applied at large scale.Technical proficiency in ML algorithms, scalable ML platforms, languages, and tools (Python, Spark, ML/Ops) in a corporate setting is highly desirable.Ability to communicate effectively across multi-disciplinary teams (e.g., data science, engineering and product management, org leadership).Prior experience in applying Data Science in Digital Marketing Technology, Graph Theory, Privacy and Geolocation Data is a plus.\n\nAdditional Information\n\nSalary:$160,000-175,000\n\nThe ultimate compensation offered for the position will depend upon several factors such as skill level, cost of living, experience, and responsibilities.\n\nVericast offers a generous total rewards benefits package that includes medical, dental and vision coverage, 401K and flexible PTO. A wide variety of additional benefits like life insurance, employee assistance and pet insurance are also available, not to mention smart and friendly coworkers!\n\nAt Vericast, we don’t just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our clients, and our community.\u202fAs an Equal Opportunity employer, Vericast considers applicants for all positions without regard to race, color, creed, religion, national origin or ancestry, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other classifications protected by law. Applicants who have disabilities may request that accommodations be made in order to complete the selection process by contacting our Talent Acquisition team at [email protected]. EEO is the law. To review your rights under Equal Employment Opportunity please visit: www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf.\n\n,'</li></ul> |
|
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+
|
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+
## Evaluation
|
443 |
+
|
444 |
+
### Metrics
|
445 |
+
| Label | Accuracy |
|
446 |
+
|:--------|:---------|
|
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+
| **all** | 0.875 |
|
448 |
+
|
449 |
+
## Uses
|
450 |
+
|
451 |
+
### Direct Use for Inference
|
452 |
+
|
453 |
+
First install the SetFit library:
|
454 |
+
|
455 |
+
```bash
|
456 |
+
pip install setfit
|
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+
```
|
458 |
+
|
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Then you can load this model and run inference.
|
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+
|
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+
```python
|
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+
from setfit import SetFitModel
|
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+
|
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# Download from the 🤗 Hub
|
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+
model = SetFitModel.from_pretrained("m-newhauser/setfit-ml-jobs")
|
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+
# Run inference
|
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+
preds = model("Data Scientist - AI Investment - Are you interested in revolutionising the future of AI investment?
|
468 |
+
My client is looking for a data scientist to tackle intricate business challenges through advanced analytics and machine learning techniques.
|
469 |
+
You will take charge of both technical prowess, overseeing the creation, implementation, and upkeep of sophisticated machine learning models and algorithms, including extensive language models.
|
470 |
+
This role offers an exceptional chance to make a substantial impact and establish yourself as a visionary in the realms of data science and AI.
|
471 |
+
Responsibilities:You'll spearhead the development and implementation of groundbreaking AI and data science solutions.Steering the strategic path of the data science community, remaining at the forefront of applied AI and AI research.Effectively communicating with stakeholders and influencing decision-making.Overseeing project delivery from inception to deployment, ensuring alignment with business goals.Identifying and integrating state-of-the-art technologies, tools, and methodologies to drive value through cost reduction, revenue generation, or enhanced customer experience.
|
472 |
+
Requirements:Proven AI research in finance industry. Ideally published with multiple citations. Ph.D./Masters/Bachelor's degree in computer science, mathematics, statistics, engineering, or relevant field from a top 10 university in the US or equivalent. Proficiency in key data science tools and methodologies, including Python, PyTorch, TensorFlow, Jax, Numpy, Scikit-learn, time-series forecasting, classification, regression, large-language models, and experiment design.A commitment to staying abreast of the latest advancements in AI research and a drive to continuously push boundaries.Extensive relevant work experience, encompassing a solid grasp of statistical data analysis, machine learning algorithms, and deep learning frameworks.
|
473 |
+
Join my client on this thrilling journey and contribute to shaping the future of data science and AI in the investment sector.,")
|
474 |
+
```
|
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+
|
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+
<!--
|
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### Downstream Use
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|
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*List how someone could finetune this model on their own dataset.*
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-->
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<!--
|
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### Out-of-Scope Use
|
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|
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+
*List how the model may foreseeably be misused and address what users ought not to do with the model.*
|
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-->
|
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|
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<!--
|
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## Bias, Risks and Limitations
|
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+
|
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*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
|
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-->
|
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+
|
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+
<!--
|
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### Recommendations
|
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+
|
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+
*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
|
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+
-->
|
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+
|
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+
## Training Details
|
501 |
+
|
502 |
+
### Training Set Metrics
|
503 |
+
| Training set | Min | Median | Max |
|
504 |
+
|:-------------|:----|:---------|:-----|
|
505 |
+
| Word count | 116 | 700.0417 | 2183 |
|
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+
|
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+
| Label | Training Sample Count |
|
508 |
+
|:------|:----------------------|
|
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+
| 0 | 10 |
|
510 |
+
| 1 | 14 |
|
511 |
+
|
512 |
+
### Training Hyperparameters
|
513 |
+
- batch_size: (8, 8)
|
514 |
+
- num_epochs: (1, 1)
|
515 |
+
- max_steps: -1
|
516 |
+
- sampling_strategy: oversampling
|
517 |
+
- body_learning_rate: (2e-05, 1e-05)
|
518 |
+
- head_learning_rate: 0.01
|
519 |
+
- loss: CosineSimilarityLoss
|
520 |
+
- distance_metric: cosine_distance
|
521 |
+
- margin: 0.25
|
522 |
+
- end_to_end: False
|
523 |
+
- use_amp: False
|
524 |
+
- warmup_proportion: 0.1
|
525 |
+
- seed: 42
|
526 |
+
- eval_max_steps: -1
|
527 |
+
- load_best_model_at_end: False
|
528 |
+
|
529 |
+
### Training Results
|
530 |
+
| Epoch | Step | Training Loss | Validation Loss |
|
531 |
+
|:-----:|:----:|:-------------:|:---------------:|
|
532 |
+
| 0.025 | 1 | 0.2118 | - |
|
533 |
+
|
534 |
+
### Framework Versions
|
535 |
+
- Python: 3.10.12
|
536 |
+
- SetFit: 1.0.3
|
537 |
+
- Sentence Transformers: 3.0.0
|
538 |
+
- Transformers: 4.39.0
|
539 |
+
- PyTorch: 2.3.0+cu121
|
540 |
+
- Datasets: 2.19.1
|
541 |
+
- Tokenizers: 0.15.2
|
542 |
+
|
543 |
+
## Citation
|
544 |
+
|
545 |
+
### BibTeX
|
546 |
+
```bibtex
|
547 |
+
@article{https://doi.org/10.48550/arxiv.2209.11055,
|
548 |
+
doi = {10.48550/ARXIV.2209.11055},
|
549 |
+
url = {https://arxiv.org/abs/2209.11055},
|
550 |
+
author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
|
551 |
+
keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
|
552 |
+
title = {Efficient Few-Shot Learning Without Prompts},
|
553 |
+
publisher = {arXiv},
|
554 |
+
year = {2022},
|
555 |
+
copyright = {Creative Commons Attribution 4.0 International}
|
556 |
+
}
|
557 |
+
```
|
558 |
+
|
559 |
+
<!--
|
560 |
+
## Glossary
|
561 |
+
|
562 |
+
*Clearly define terms in order to be accessible across audiences.*
|
563 |
+
-->
|
564 |
+
|
565 |
+
<!--
|
566 |
+
## Model Card Authors
|
567 |
+
|
568 |
+
*Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
|
569 |
+
-->
|
570 |
+
|
571 |
+
<!--
|
572 |
+
## Model Card Contact
|
573 |
+
|
574 |
+
*Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
|
575 |
+
-->
|
config.json
ADDED
@@ -0,0 +1,31 @@
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|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "BAAI/bge-small-en-v1.5",
|
3 |
+
"architectures": [
|
4 |
+
"BertModel"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"classifier_dropout": null,
|
8 |
+
"hidden_act": "gelu",
|
9 |
+
"hidden_dropout_prob": 0.1,
|
10 |
+
"hidden_size": 384,
|
11 |
+
"id2label": {
|
12 |
+
"0": "LABEL_0"
|
13 |
+
},
|
14 |
+
"initializer_range": 0.02,
|
15 |
+
"intermediate_size": 1536,
|
16 |
+
"label2id": {
|
17 |
+
"LABEL_0": 0
|
18 |
+
},
|
19 |
+
"layer_norm_eps": 1e-12,
|
20 |
+
"max_position_embeddings": 512,
|
21 |
+
"model_type": "bert",
|
22 |
+
"num_attention_heads": 12,
|
23 |
+
"num_hidden_layers": 12,
|
24 |
+
"pad_token_id": 0,
|
25 |
+
"position_embedding_type": "absolute",
|
26 |
+
"torch_dtype": "float32",
|
27 |
+
"transformers_version": "4.39.0",
|
28 |
+
"type_vocab_size": 2,
|
29 |
+
"use_cache": true,
|
30 |
+
"vocab_size": 30522
|
31 |
+
}
|
config_sentence_transformers.json
ADDED
@@ -0,0 +1,10 @@
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|
|
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|
1 |
+
{
|
2 |
+
"__version__": {
|
3 |
+
"sentence_transformers": "2.2.2",
|
4 |
+
"transformers": "4.28.1",
|
5 |
+
"pytorch": "1.13.0+cu117"
|
6 |
+
},
|
7 |
+
"prompts": {},
|
8 |
+
"default_prompt_name": null,
|
9 |
+
"similarity_fn_name": null
|
10 |
+
}
|
config_setfit.json
ADDED
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
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|
1 |
+
{
|
2 |
+
"normalize_embeddings": false,
|
3 |
+
"labels": null
|
4 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4b3c62677b15ea2dfb7bcc6ba3d9f3145f6833b0ed021a26f879a3ce35117bc4
|
3 |
+
size 133462128
|
model_head.pkl
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:20496e5fac4a8233d533c838fa76b63d6cc9eb2e0ca37f87082fe716a024419b
|
3 |
+
size 3935
|
modules.json
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
1 |
+
[
|
2 |
+
{
|
3 |
+
"idx": 0,
|
4 |
+
"name": "0",
|
5 |
+
"path": "",
|
6 |
+
"type": "sentence_transformers.models.Transformer"
|
7 |
+
},
|
8 |
+
{
|
9 |
+
"idx": 1,
|
10 |
+
"name": "1",
|
11 |
+
"path": "1_Pooling",
|
12 |
+
"type": "sentence_transformers.models.Pooling"
|
13 |
+
},
|
14 |
+
{
|
15 |
+
"idx": 2,
|
16 |
+
"name": "2",
|
17 |
+
"path": "2_Normalize",
|
18 |
+
"type": "sentence_transformers.models.Normalize"
|
19 |
+
}
|
20 |
+
]
|
sentence_bert_config.json
ADDED
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"max_seq_length": 512,
|
3 |
+
"do_lower_case": true
|
4 |
+
}
|
special_tokens_map.json
ADDED
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"cls_token": {
|
3 |
+
"content": "[CLS]",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"mask_token": {
|
10 |
+
"content": "[MASK]",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "[PAD]",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"sep_token": {
|
24 |
+
"content": "[SEP]",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
},
|
30 |
+
"unk_token": {
|
31 |
+
"content": "[UNK]",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false
|
36 |
+
}
|
37 |
+
}
|
tokenizer.json
ADDED
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|
tokenizer_config.json
ADDED
@@ -0,0 +1,57 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
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|
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|
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|
|
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "[PAD]",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"100": {
|
12 |
+
"content": "[UNK]",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"101": {
|
20 |
+
"content": "[CLS]",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"102": {
|
28 |
+
"content": "[SEP]",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"103": {
|
36 |
+
"content": "[MASK]",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
}
|
43 |
+
},
|
44 |
+
"clean_up_tokenization_spaces": true,
|
45 |
+
"cls_token": "[CLS]",
|
46 |
+
"do_basic_tokenize": true,
|
47 |
+
"do_lower_case": true,
|
48 |
+
"mask_token": "[MASK]",
|
49 |
+
"model_max_length": 512,
|
50 |
+
"never_split": null,
|
51 |
+
"pad_token": "[PAD]",
|
52 |
+
"sep_token": "[SEP]",
|
53 |
+
"strip_accents": null,
|
54 |
+
"tokenize_chinese_chars": true,
|
55 |
+
"tokenizer_class": "BertTokenizer",
|
56 |
+
"unk_token": "[UNK]"
|
57 |
+
}
|
vocab.txt
ADDED
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|
|