Model: aaa961/distilroberta-ai-job-embeddings
Author: aaa961
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, roberta, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:809, loss:MultipleNegativesRankingLoss, dataset:shawhin/ai-job-embedding-finetuning, arxiv:1908.10084, arxiv:1705.00652, base_model:sentence-transformers/all-distilroberta-v1, base_model:finetune:sentence-transformers/all-distilroberta-v1, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: sentence-transformers/all-distilroberta-v1
Card metadata: tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:809, loss:MultipleNegativesRankingLoss
base_model: sentence-transformers/all-distilroberta-v1
widget: source_sentence: Senior Data Analyst Pricing, B2B B2C Pricing Strategies, A/B Testing Analysis
sentences: Qualifications
 Data Engineering, Data Modeling, and ETL (Extract Transform Load) skillsData Warehousing and Data Analytics skillsExperience with data-related tools and technologiesStrong problem-solving and analytical skillsExcellent written and verbal communication skillsAbility to work independently and remotelyExperience with cloud platforms (e.g., AWS, Azure) is a plusBachelor's degree in Computer Science, Information Systems, or related field, Skills You BringBachelor’s or Master’s Degree in a technology related field (e.g. Engineering, Computer Science, etc.) required with 6+ years of experienceInformatica Power CenterGood experience with ETL technologiesSnaplogicStrong SQLProven data analysis skillsStrong data modeling skills doing either Dimensional or Data Vault modelsBasic AWS Experience Proven ability to deal with ambiguity and work in fast paced environmentExcellent interpersonal and communication skillsExcellent collaboration skills to work with multiple teams in the organization, experience, an annualized transactional volume of $140 billion in 2023, and approximately 3,200 employees located in 12+ countries, Paysafe connects businesses and consumers across 260 payment types in over 40 currencies around the world. Delivered through an integrated platform, Paysafe solutions are geared toward mobile-initiated transactions, real-time analytics and the convergence between brick-and-mortar and online payments. Further information is available at www.paysafe.com.

Are you ready to make an impact? Join our team that is inspired by a unified vision and propelled by passion.

Position Summary

We are looking for a dynamic and flexible, Senior Data Analyst, Pricing to support our global Sales and Product organizations with strategic planning, analysis, and commercial pricing efforts . As a Senior Data Analyst , you will be at the frontier of building our Pricing function to drive growth through data and AI-enabled capabilities. This opportunity is high visibility for someone hungry to drive the upward trajectory of our business and be able to contribute to their efforts in the role in our success.

You will partner with Product Managers to understand their commercial needs, then prioritize and work with a cross-functional team to deliver pricing strategies and analytics-based solutions to solve and execute them. Business outcomes will include sustainable growth in both revenues and gross profit.

This role is based in Jacksonville, Florida and offers a flexible hybrid work environment with 3 days in the office and 2 days working remote during the work week.

Responsibilities

 Build data products that power the automation and effectiveness of our pricing function, driving better quality revenues from merchants and consumers.  Partner closely with pricing stakeholders (e.g., Product, Sales, Marketing) to turn raw data into actionable insights. Help ask the right questions and find the answers.  Dive into complex pricing and behavioral data sets, spot trends and make interpretations.  Utilize modelling and data-mining skills to find new insights and opportunities.  Turn findings into plans for new data products or visions for new merchant features.  Partner across merchant Product, Sales, Marketing, Development and Finance to build alignment, engagement and excitement for new products, features and initiatives.  Ensure data quality and integrity by following and enforcing data governance policies, including alignment on data language. 

  Qualifications  

 Bachelor’s degree in a related field of study (Computer Science, Statistics, Mathematics, Engineering, etc.) required.  5+ years of experience of in-depth data analysis role, required; preferably in pricing context with B2B & B2C in a digital environment.  Proven ability to visualize data intuitively, cleanly and clearly in order to make important insights simplified.  Experience across large and complex datasets, including customer behavior, and transactional data.  Advanced in SQL and in Python, preferred.  Experience structuring and analyzing A/B tests, elasticities and interdependencies, preferred.  Excellent communication and presentation skills, with the ability to explain complex data insights to non-technical audiences. 

 Life at Paysafe: 

One network. One partnership. At Paysafe, this is not only our business model; this is our mindset when it comes to our team. Being a part of Paysafe means you’ll be one of over 3,200 members of a world-class team that drives our business to new heights every day and where we are committed to your personal and professional growth.

Our culture values humility, high trust & autonomy, a desire for excellence and meeting commitments, strong team cohesion, a sense of urgency, a desire to learn, pragmatically pushing boundaries, and accomplishing goals that have a direct business impact.

 

Paysafe provides equal employment opportunities to all employees, and applicants for employment, and prohibits discrimination of any type concerning ethnicity, religion, age, sex, national origin, disability status, sexual orientation, gender identity or expression, or any other protected characteristics. This policy applies to all terms and conditions of recruitment and employment. If you need any reasonable adjustments, please let us know. We will be happy to help and look forward to hearing from you., source_sentence: ETL Pipelines, Apache Spark, AirFlow
sentences: Experience as a Product Data Analyst at TGG:Achieving business results as a client facing consultant for our clients in various types of engagements within a variety of industries.Delivering high quality work to our clients within our technology service line. Being part of a collaborative, values-based firm that has a reputation for great work and satisfied clients.Working with senior IT leaders to communicate strategic goals to their organization, including leading client and internal development teams on best practices.
What You Will Work On:Analyze large datasets to identify patterns, trends, and opportunities for product optimization.Develop and maintain dashboards and reports to track key performance metrics.Collaborate with product managers, marketers, and engineers to ideate, prioritize, and implement data-driven initiatives.Conduct A/B testing and other statistical analyses to evaluate the effectiveness of product changes.Communicate findings and recommendations to stakeholders through clear and concise presentations.Contribute analytical insights to inform product vision and deliver value.
Who Will You Work With:Client stakeholders ranging from individual contributors to senior executives.A collaborative team of consultants that deliver outstanding client service.TGG partners, principals, account leaders, managers, and staff supporting you to excel within client projects and to achieve your professional development goals.
Examples of What You Bring to the Table:You have strong analysis capabilities and thrive on working collaboratively to deliver successful results for clients. You have experience with these technologies:Proficiency in SQL and Python for data extraction, manipulation, and analysis.Strong understanding of statistical concepts and techniques.Intermediate experience with Tableau, Power BI, Adobe Analytics, or similar BI tools.Ability to analyze requirements, design, implement, debug, and deploy Cloud Platform services and components.At least basic exposure to data science and machine learning methods.Familiarity with source control best practices: Define, Setup/Configure, Deploy and Maintain source code (e.g. GIT, VisualSafe Source).Ability to develop and schedule processes to extract, transform, and store data from these systems: SQL databases, Azure cloud services, Google cloud service, Snowflake.4-8 years of relevant experience.Bachelor’s degree in Computer Science, Statistics, Economics, Mathematics, or a related field; or equivalent combination of education, training, and experience.Analytical Product Mindset: Ability to approach problems analytically and derive actionable insights from complex datasets, while remaining focused on providing value to customers Strategic Thinking: Demonstrated ability to translate data findings into strategic, achievable recommendations to drive business outcomes.Communication Skills: Excellent verbal and written communication skills.Ability to effectively convey technical concepts from technical to non-technical stakeholders and vice-versa.Team Player: Proven track record of collaborating effectively with cross-functional teams in a fast-paced environment.Adaptability: Have consistently demonstrated the ability to bring structure to complex, unstructured environments.Familiarity with Agile development methodologies.Ability to adapt to changing priorities to thrive in dynamic work environments.
Salary and Benefits:Nothing is more important to us than the well-being of our team. That is why we are proud to offer a full suite of competitive health benefits along with additional benefits such as: flexible PTO, a professional development stipend and work from home stipend, volunteer opportunities, and team social activities.
Salaries vary and are dependent on considerations such as: experience and specific skills/certifications. The base plus target bonus total compensation range for this role is $95,000 - $125,000. Additional compensation beyond this range is available as a result of leadership and business development opportunities. Salary details are discussed openly during the hiring process. 
Work Environment:TGG is headquartered in Portland, Oregon, and has team members living in various locations across the United States. Our consultants must have the ability to travel and to work remotely or onsite. Each engagement has unique conditions, and we work collaboratively to meet both our client and team's needs regarding onsite and travel requirements. 
Why The Gunter Group:TGG was created to be different, to be relational, to be insightful, and to maximize potential for our consultants, our clients, and our community. We listen first so we can learn, analyze, and deliver meaningful solutions for our clients. Our compass points towards our people and our “Non-Negotiables” always. Our driven employees make us who we are — a talented team of leaders with deep and diverse professional experience.If you think this role is the right fit, please submit your resume and cover letter so we can learn more about you. 
The Gunter Group LLC is, Requirements & Day-to-Day:  Design, develop, and support scalable data processing pipelines using Apache Spark and Java/Scala. Lead a talented team and make a significant impact on our data engineering capabilities. Implement and manage workflow orchestration with AirFlow for efficient data processing. Proficiently use SQL for querying and data manipulation tasks. Collaborate with cross-functional teams to gather requirements and ensure alignment with data engineering solutions.  Essential Criteria:  a bachelor’s degree in computer science or another relevant discipline, and a minimum of five years of relevant experience in data engineering. Solid experience with Apache Spark for large-scale data processing. Proficiency in Java or Scala programming languages. Strong knowledge of AirFlow for workflow orchestration. Proficient in SQL for data querying and manipulation., experienced Data Engineer to join our world leading footwear client. The ideal candidate will have 6-7 years of relevant experience, with a focus on practical application in AWS tech stack. Experience with Databricks, Spark, and Python for coding is essential.

W2 ONLY, NO C2C*


Key Qualifications:

Bachelor’s degree in Computer Science or related field.6-7 years of data engineering experience.Proficiency in AWS, Databricks, Spark, and Python.Ability to work in complex environments with diverse projects.Strong communication and collaboration skills.


Mainz Brady Group is a technology staffing firm with offices in California, Oregon and Washington. We specialize in Information Technology and Engineering placements on a Contract, Contract-to-hire and Direct Hire basis. Mainz Brady Group is the recipient of multiple annual Excellence Awards from the Techserve Alliance, the leading association for IT and engineering staffing firms in the U.S.

Mainz Brady Group is, source_sentence: dialog evaluation processes, speech interaction analysis, data collection conventions
sentences: experience with the Refactor the Macro code from local Python/R implementation to Databricks (Python/Pyspark) Analytical expert who utilize his/her skills in both technology and social science to find trends and manage data.They use industry knowledge, contextual understanding, skepticism of existing assumptions – to uncover solutions to business challengesCollecting, analysis and clean up dataCreating algorithms for processing catalog products using different data sourcesExperimenting with different models and neural networks, creating model ensemblesCreating a workflow for publishing algorithms to productionStrong skills in a machine and/or deep learning algorithms, data cleaning, feature extraction, and generationDemonstrated computational skills and experience with PythonExperience executing and presenting independent analysis Must have skills:Python(Programming Language)R (Programming Language)PySparkDatabricks, requirements. You will work closely with cross-functional teams to develop and implement data processing solutions that align with business needs. Additionally, you will be responsible for ensuring the quality and integrity of data while optimizing performance and ensuring data security. The successful candidate must have at least 5 years of experience in data engineering, with a strong focus on Azure Databricks and Azure Data Factory. You should be able to design and develop efficient data processing pipelines and should be proficient in SQL queries. Experience in JIRA is a must. Must Have below skills:• SQL Quires • SSIS• Data Factory• Databricks• JIRA.

Thanks & RegardsJoshuaDelivery Manager, experience with speech interfaces Lead and evaluate changing dialog evaluation conventions, test tooling developments, and pilot processes to support expansion to new data areas Continuously evaluate workflow tools and processes and offer solutions to ensure they are efficient, high quality, and scalable Provide expert support for a large and growing team of data analysts Provide support for ongoing and new data collection efforts as a subject matter expert on conventions and use of the data Conduct research studies to understand speech and customer-Alexa interactions Assist scientists, program and product managers, and other stakeholders in defining and validating customer experience metrics

We are open to hiring candidates to work out of one of the following locations:

Boston, MA, USA | Seattle, WA, USA

Basic Qualifications

 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 2+ years of data scientist experience Bachelor's degree Experience applying theoretical models in an applied environment

Preferred Qualifications

 Experience in Python, Perl, or another scripting language Experience in a ML or data scientist role with a large technology company Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

Amazon is committed to a diverse and inclusive workplace. Amazon is 

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $111,600/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.


Company - Amazon.com Services LLC

Job ID: A2610750, source_sentence: Senior Data Analyst with expertise in Power BI, data governance, and statistical analysis
sentences: qualifications and experience.
RESPONSIBILITIESData Analysis and Insights: Utilize advanced data analysis techniques to extract insights from large datasets, identify trends, patterns, and correlations, and translate findings into actionable recommendations for business stakeholders. Develop predictive models, algorithms, and data visualization tools to support decision-making processes, optimize business performance, and drive strategic initiatives.Strategy Development: Collaborate with senior leadership and key stakeholders to develop data-driven strategies and roadmaps that align with business objectives and drive innovation across the organization. Conduct market research, competitive analysis, and industry benchmarking to identify opportunities for growth, differentiation, and competitive advantage.Technology Engineering: Design, develop, and implement technology solutions and platforms to support data analytics, reporting, and automation initiatives, leveraging tools and technologies such as SQL, Python, R, Tableau, Power BI, and cloud-based platforms. Architect and maintain data infrastructure, databases, and systems to ensure scalability, reliability, and security of data assets.Cross-Functional Collaboration: Partner with cross-functional teams, including IT, Marketing, Operations, and Finance, to gather requirements, define solution specifications, and ensure successful implementation and adoption of data-driven initiatives. Provide technical guidance, training, and support to stakeholders to enable self-service analytics and empower data-driven decision-making throughout the organization.Performance Monitoring and Optimization: Monitor and analyze the performance of data analytics solutions and technology platforms, identifying opportunities for optimization, scalability, and continuous improvement. Implement best practices, standards, and governance frameworks to ensure data integrity, privacy, and compliance with regulatory requirements.
REQUIREMENTSOccasionally lift and/or move up to 25 lbs. Ability to understand and follow instructions in English.Ability to sit for extended periods of time, twist, bend, sit, walk use hands to twist, handle or feel objects, tools or controls, such as computer mouse, computer keyboard, calculator, stapler, telephone, staple puller, etc., reach with hands and arms, balance, stoop, kneel, talk or hear.Specific vision abilities required by the job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus.
QUALIFICATIONSBachelor's degree in Computer Science, Data Science, Information Systems, or related field; Master's degree or relevant certification preferred.X years of experience in data analysis, strategy development, and technology engineering roles, preferably in the financial services or banking industry.Strong proficiency in data analysis tools and programming languages, such as SQL, Python, R, and experience with data visualization tools such as Tableau or Power BI.Solid understanding of data modeling, database design, and data warehousing principles, with experience working with relational databases and cloud-based platforms.Proven track record of developing and implementing data-driven strategies and technology solutions that drive business value and operational efficiency.Excellent communication, problem-solving, and stakeholder management skills.Ability to work independently as well as collaboratively in a fast-paced, dynamic environment. Strong analytical mindset, attention to detail, and a passion for leveraging data and technology to solve complex business challenges.
ABOUT STEARNS BANKStearns Bank is a leading financial institution dedicated to leveraging cutting-edge technology and data analytics to provide innovative banking solutions. With a commitment to excellence and continuous improvement, Stearns Bank offers a dynamic and collaborative work environment for professionals seeking to make a significant impact in the finance and technology sectors.
WHY JOIN STEARNS BANK?Opportunity to work at the intersection of finance, technology, and data analytics, driving innovation and shaping the future of banking. Collaborative and inclusive work culture that values diversity, creativity, and continuous learning. Competitive compensation package with comprehensive benefits and opportunities for professional development and advancement. Make a meaningful impact by leveraging your expertise to drive data-driven decision-making and technology innovation, contributing to the success and growth of Stearns Bank.Note: The above job description is intended to outline the general nature and level of work being performed by individuals assigned to this position. It is not intended to be construed as an exhaustive list of responsibilities, duties, and skills required. Management reserves the right to modify, add, or remove duties as necessary to meet business needs.
EQUAL OPPORTUNITY EMPLOYER /AFFIRMATIVE ACTION PLANWe are, experience with kubernetes operating knowledge.Working with data pipelines and experience with Spark and FlinkExcellent communication skillsNice to have:Programming experience in Scala, Java, and PythonKnowledge on Machine Learning (Client)
Job description:The client seeks to improve products by using data as the voice of our customers. We are looking for engineers to collaborate with users of our infrastructure and architect new pipelines to improve the user onboarding experience. As part of this group, you will work with petabytes of data daily using diverse technologies like Spark, Flink, Kafka, Hadoop, and others. You will be expected to effectively partner with upstream engineering teams and downstream analytical & product consumers. Experience:10+ YOE, with 5+ years of experience designing and implementing batch or real-time data pipelinesHands-on experience on batch processing (Spark, Presto, Hive) or streaming (Flink, Beam, Spark Streaming)Experience in AWS and knowledge in its ecosystem. Experience in scaling and operating kubernetes.Excellent communication skills is a must, experience working with customers directly to explain how they would use the infrastructure to build complex data pipelinesProven ability to work in an agile environment, flexible to adapt to changesAble to work independently, research on possible solutions to unblock customerProgramming experience in Scala, Java, or PythonFast learner and experience with other common big data open source technologies is a big plusKnowledge on machine learning (Client) is a nice-to-have, skills and proficiency/expertise in analytical tools including PowerBI development, Python, coding, Excel, SQL, SOQL, Jira, and others.Must be detail oriented, focused on excellent quality deliverables and able to analyze data quickly using multiple tools and strategies including creating advanced algorithms.Position serves as a critical member of data integrity team within digital solutions group and supplies detailed analysis on key data elements that flow between systems to help design governance and master data management strategies and ensure data cleanliness.
Requirements:5 to 8 years related experience preferred. Bachelor's degree preferred.Power BIPythonSQL/SOQLJiraExcel, source_sentence: data integrity governance PowerBI development Juno Beach
sentences: skills: 2-5 y of exp with data analysis/ data integrity/ data governance; PowerBI development; Python; SQL, SOQL

Location: Juno Beach, FL
PLEASE SEND LOCAL CANDIDATES ONLY

Seniority on the skill/s required on this requirement: Mid.

Earliest Start Date: ASAP

Type: Temporary Project

Estimated Duration: 12 months with possible extension(s)

Additional information: The candidate should be able to provide an ID if the interview is requested. The candidate interviewing must be the same individual who will be assigned to work with our client. 
Requirements:• Availability to work 100% at the Client’s site in Juno Beach, FL (required);• Experience in data analysis/ data integrity/ data governance;• Experience in analytical tools including PowerBI development, Python, coding, Excel, SQL, SOQL, Jira, and others.

Responsibilities include but are not limited to the following:• Analyze data quickly using multiple tools and strategies including creating advanced algorithms;• Serve as a critical member of data integrity team within digital solutions group and supplies detailed analysis on key data elements that flow between systems to help design governance and master data management strategies and ensure data cleanliness., skills and expertise, experience and other relevant factors (salary may be adjusted based on geographic location)

 What does it mean to work at Armstrong?

It means being immersed in a supportive culture that recognizes you as a key player in Armstrong's future. We are a large company with a local feel, where you will get to know and collaborate with leadership and your colleagues across the company.

By joining us, you'll have the opportunity to make the most of your potential. Alongside a competitive remuneration package, you will receive:

A benefits package including: medical, dental, prescription drug, life insurance, 401k match, long-term disability coverage, vacation and sick time, product discount programs and many more.Personal development to grow your career with us based on your strengths and interests.A working culture that balances individual achievement with teamwork and collaboration. We draw on each other's strengths and allow for different work styles to build engagement and satisfaction to deliver results. 


As a Data Scientist, you will leverage cutting-edge generative AI techniques to extract structured data from diverse document types. From there, you will build models that understand context, domain-specific jargon and generate documents. The output of your work will enable long-term strategic advantages for the company.

Essential Duties and Responsibilities include the following. Other duties may be assigned.

Building AI/ML features to evaluate document quality, account loyalty, market trends, etc.Constructing supervised learning datasetsWriting robust and testable codeDefining and overseeing regular updates to improve precision as the company’s challenges and data evolveCultivating strong collaborations with teammates and stakeholdersSharing technical solutions and product ideas with the team through design/code reviews and weekly meetings


Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Experience transforming natural language data into useful features using NLP techniques to feed classification algorithmsAbility to work with dashboarding and visualization software such as Tableau or Power BIKnowledge of software versioning control repositories such as GitHubAbility to translate data insights into actionable items and communicate findings in a simplistic wayExperience with generative AI would be a plus Enthusiasm for learning new things and going deep into detailed data analysisWorkflow flexibility, team player, and strong collaboration skills


Education And/or Experience

BS in Computer Science, Statistics or Applied Mathematics or equivalent years of experience2+ years in software development, statistical modeling, and machine learning2+ years of experience in an analytical field using tools such as Python, R, SAS, MatlabFamiliarity with SQL or other querying languages is preferred


Why should you join Armstrong World Industries?

Armstrong World Industries (AWI) is a leader in the design and manufacture of innovative commercial and residential ceiling, wall and suspension system solutions in the Americas. With approximately $1B in revenue, AWI has about 2,800 employees and a manufacturing network of fifteen facilities in North America.

At home, at work, in healthcare facilities, classrooms, stores, or restaurants, we offer interior solutions that help to enhance comfort, save time, improve building efficiency and overall performance, and create beautiful spaces.

For more than 150 years, we have built our business on trust and integrity. It set us apart then, and it sets us apart now, along with our ability to collaborate with and innovate for the people we're here to serve - our customers, our shareholders, our communities and our employees.

We are committed to developing new and sustainable ceiling solutions, with design and performance possibilities that make a positive difference in spaces where we live, work, learn, heal and play. It's an exciting, rewarding business to be in, and we're committed to continue to grow and prosper for the benefit of all of our stakeholders. We hope you join us.

Our Sustainability Ambition

"Bringing our Purpose to Life" - lead a transformation in the design and building of spaces fit for today and tomorrow.

We are committed to:

Engaging a diverse, purpose-driven workforce;Transforming buildings from structures that shelter into structures that serve and preserve the health and well-being of people and planet;Pursuing sustainable, innovative solutions for spaces where we live, work, learn heal and play;Being a catalyst for change with all of our stakeholders; andMaking a positive difference in the environments and communities we impact.


Armstrong is committed to engaging a diverse, purpose-driven workforce. As part of our dedication to diversity, AWI is committed to 

Come and build your future with us and apply today!, QualificationsAdvanced degree (MS with 5+ years of industry experience, or Ph.D.) in Computer Science, Data Science, Statistics, or a related field, with an emphasis on AI and machine learning.Proficiency in Python and deep learning libraries, notably PyTorch and Hugging Face, Lightning AI, evidenced by a history of deploying AI models.In-depth knowledge of the latest trends and techniques in AI, particularly in multivariate time-series prediction for financial applications.Exceptional communication skills, capable of effectively conveying complex technical ideas to diverse audiences.Self-motivated, with a collaborative and solution-oriented approach to problem-solving, comfortable working both independently and as part of a collaborative team.

CompensationThis role is compensated with equity until the product expansion and securing of Series A investment. Cash-based compensation will be determined after the revenue generation has been started. As we grow, we'll introduce additional benefits, including performance bonuses, comprehensive health insurance, and professional development opportunities. 
Why Join BoldPine?
Influence the direction of financial market forecasting, contributing to groundbreaking predictive models.Thrive in an innovative culture that values continuous improvement and professional growth, keeping you at the cutting edge of technology.Collaborate with a dedicated team, including another technical expert, setting new benchmarks in AI-driven financial forecasting in a diverse and inclusive environment.
How to Apply
To join a team that's redefining financial forecasting, submit your application, including a resume and a cover letter. At BoldPine, we're committed to creating a diverse and inclusive work environment and encouraging applications from all backgrounds. Join us, and play a part in our mission to transform financial predictions.
datasets: shawhin/ai-job-embedding-finetuning
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: cosine_accuracy
model-index: name: SentenceTransformer based on sentence-transformers/all-distilroberta-v1
results: task: type: triplet
name: Triplet
dataset: name: ai job validation
type: ai-job-validation
metrics: type: cosine_accuracy
value: 0.8811881188118812
name: Cosine Accuracy
verified: no, type: cosine_accuracy
value: 0.9900990099009901
name: Cosine Accuracy
verified: no, task: type: triplet
name: Triplet
dataset: name: ai job test
type: ai-job-test
metrics: type: cosine_accuracy
value: 1
name: Cosine Accuracy
verified: no
Likes: 0 | All-time downloads: 58
Created: 2025-09-05 10:18:58