Model: tudorizer/distilroberta-ai-job-embeddings
Author: tudorizer
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, roberta, sentence-similarity, feature-extraction, dense, generated_from_trainer, dataset_size:816, loss:MultipleNegativesRankingLoss, dataset:tudorizer/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, dense, generated_from_trainer, dataset_size:816, loss:MultipleNegativesRankingLoss
base_model: sentence-transformers/all-distilroberta-v1
widget: source_sentence: Here's a concise job search query with 3 specialized skills:

Generative AI model developer (Python, ML/Deep Learning, Azure/AI certifications)

Or, if you'd like to include automation tools specifically:

Generative AI engineer (Python, Automation tools like Xceptor/Appian/KNIME, Azure/AI certifications)

Note: I excluded generic terms like AI/ML experience as they are not unique to the role and can be found in many job postings.
sentences: skills : AI/ML models using Google Cloud Platform Relevant Experience: 6+ years Education: Bachelor’s Degree or above  Roles & Responsibilities · Proven experience in deploying real-time AI/ML models using Google Cloud Platform.· Strong programming skills in Python and PySpark.· Proficiency with SQL and relational databases, data warehouses, and BigQuery.· Experience in scaling marketing-related AI/ML solutions such as cross/upsell, recommended systems, and category propensity.· Experience in deploying and managing Large scale Machine Learning Models is a plus· Expertise with classical ML algorithm like K-NN, LSH, logistic regression, linear regression, SVM, Random forest and clustering.· Good understanding of ML & DL algorithms and frameworks (Scikit-learn,Spacy, Tensorflow/Keras/ PyTorch)· Experience in deep learning Algorithm s like MLP, CNN, RNN, LSTMs and GANs, Transformers and LLMs.· Excellent programming skills in Python· Expertise in Google Cloud and operationalization of models using MLOPs.· Experience in scheduling jobs for automated training and inference of AI/ML models using airflow or any other workflow orchestration platform.· Proficiency in collecting data from different data sources, data cleaning, preprocessing, and feature engineering.· Understanding of regression, classification, and unsupervised ML algorithms.· Experience in mentoring junior associates in scaling AI/ML models.· Excellent problem-solving and analytical skills.· Strong written and verbal communication skills, with the ability to present and explain complex concepts to both technical and non-technical audiences., Skills:1. Extensive knowledge of Data Management, Data Governance, Data quality activities, tools, and frameworks, with experience reporting on large amounts of data while understanding the importance of meeting deliverables.2. Experience implementing and using data management tools such as data quality, and business/technical metadata catalogs, with strong experience implementing master data management tools and processes.3. Demonstrated experience with master data management projects, preferably company or person disambiguation.4. Ability to create datasets from a variety of disparate sources to further data governance initiatives and processes.5. Demonstrated experience in performing data mining on large datasets to supplement data governance quality improvement initiatives.6. Strong experience of SQL and Python, relational and non-relational databases, database structures, and unstructured databases, and preferably graph and other NoSQL databases.7. Strong understanding of data quality frameworks within data lifecycle management.8. Demonstrated experience driving data quality initiatives and resolution.9. Demonstrated experience with process improvement, workflow, benchmarking and / or evaluation of business processes.10. Ability to write various documents such as functional requirements, data quality rules, and policy definitions.
The following benefits are offered for this position: medical, dental, & vision insurance, short-term disability, life and AD&D insurance, and a 401(k) retirement plan., experience.•Deep Learning.•Preferable experience/certification in Automation tools like Xceptor, Appian or KNIME., source_sentence: Here's a concise job search query with at most 3 specialized skills or areas of expertise:

Data Analyst/Scientist - Informatica Powercenter, AWS, ETL

Alternatively, you could also try:

ETL Developer - Data Warehouse/BI Analytics - Informatica MDM, AWS

Or:

Data Pipeline Developer - ETL Tools, AWS SQS, Python Connectors

These queries highlight the key skills mentioned in the job description, such as data analysis and development, ETL tools, AWS services, and data pipeline development.
sentences: Requirements:Masters degree in Data Analytics, Data Science, Computer Science or related technical subject areaDemonstrated experience developing hockey or sports betting models at production scale Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods4+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needsExperience with relational SQL & PythonExperience with source control tools such as GitHub and related CI/CD processesExperience working in AWS environments etcProven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutionsExcellent communication skills to both technical and non-technical audiences
Base salary: $107,000-175,000
Swish Analytics is, Requirements Documents (BRDs) and technical design Documents (TRDs).Use appropriate tools to collect, correlate and analyze data.Record and maintain technical data for use in developing operating and instruction manuals.Develop simple to complex ETL mappings in Informatica and document all business rules applied in ETL logic to ensure the development is in-line with Functional/Technical specification documents or any other requirements documentation.Utilize AWS services to implement end to end data pipelines to derive insights.Utilize Informatica MDM hub (Siperian) on 9.x and 10.x versions to make any design & architecture changes including configuring & fine-tuning fuzzy logic Informatica MDM to meet the changing business needs and implementing new processes & projects.Conduct data warehouse/BI/Analytics/ETL applications development and testing using ETL tools like Informatica Powercenter.Create technical documentations such as technical specification documents, technical design documents, Data flow diagrams, process diagrams and process illustrations.Implement batch and continuous data ingestion pipelines using AWS SQS and Python connectors.Collaborate with various departments, architects, project managers and technical managers to provide estimates, develop overall implementation solution plan and serve as a lead to implement solutions.Implement concepts such as Streams, Tasks, Clustering, Data purge, semistructured (XML, JSON) and unstructured data handling and streaming data loads.Assist in the development of standards and procedures.Apply and execute standard information systems theories, concepts, and techniques.Utilize Analysis, Design, Development, Testing, Data Analysis, Data Governance, Reporting, Impact Analysis, Applications Maintenance and cloud technologies.Identifies the business benefits of alternative strategies.Ensures compliance between business strategies and technology directions.May prepare testing plans to confirm that requirements and system design are accurate and complete and user conduct trainings.Identify process disconnects and translate them into improvement opportunities with cost savings or avoidance, productivity improvements, or revenue generating business benefits.Develop business relationships and integrate activities with other IT areas to ensure successful implementation and support of project efforts.Write SQL queries to analyze the data thoroughly and present results of analysis to larger group.Perform complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshooting.Analyze departmental processes and needs and make recommendations that are most effective means to satisfy those needs.Develop data ingestion, data processing and raw data pipelines for different data sources to AWS.Partner effectively with all teams to ensure all business requirements and SLAs are met, and data quality is maintained.Communicate business needs and drivers to development groups to assure the implementation phase can fulfill the business need.Establish organizational objectives and delegates assignments.

Qualifications

Must possess a Bachelor’s degree or foreign academic equivalent in Computer Science, Applied Computer Science, Computer Engineering, Information Technology or a highly related field of study with 5 years of related experience.

In the alternative, employer will accept a Master’s degree in the aforementioned fields plus 2 years of related experience.

Each educational alternative with at least two (2) years of experience in the following:

data warehouse/BI/Analytics/ETL applications development and testing using ETL tools like Informatica Powercenter;implementing batch and continuous data ingestion pipelines using AWS SQS and Python connectors;Streams, Tasks, Clustering, Data purge, semistructured (XML, JSON) and unstructured data handling and streaming data loads; (iv)Analysis, Design, Development, Testing, Data Analysis, Data Governance, Reporting, Impact Analysis, Applications Maintenance and cloud technologies; (v)complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshooting; &developing data ingestion, data processing and raw data pipelines for different data sources to AWS.

Employer will accept any suitable combination of education, training or experience related to the job opportunity.

Apply online at https://careers.abbvie.com/en. Refer to Req ID: REF24104Y.

Additional Information

We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our short-term and long-term incentive programs.

AbbVie is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion. It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status., Requirements:Masters degree in Data Analytics, Data Science, Computer Science or related technical subject areaDemonstrated experience developing hockey or sports betting models at production scale Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods4+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needsExperience with relational SQL & PythonExperience with source control tools such as GitHub and related CI/CD processesExperience working in AWS environments etcProven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutionsExcellent communication skills to both technical and non-technical audiences
Base salary: $107,000-175,000
Swish Analytics is, source_sentence: Here's a concise job search query with at most 3 specialized skills or areas of expertise:

Data Engineer for Next Gen Data Processing Platform

or

Staff Data Engineer - Scalable Data Architecture - Java/Scala/Coding on SQL

These queries focus on the key skills and qualifications mentioned in the job description, such as data engineering expertise, scalable data architecture, and proficiency in Java and Scala.
sentences: 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, skills and experience. You receive state-of-the-art training in a variety of domains, and lead the organization to adopting new and innovative methods to solve our clients’ hardest questions. You won’t just be a technical expert: you will intersect between data science, and commercial business understanding, across a variety of domains to provide analytically driven recommendations to our clients. 
Data & Analytics is one of four key pillars to the Solutions Team at L.E.K. Consulting, alongside Market Insights, Information & Research Center and Knowledge Management. The Solutions team works together to support and enable our consulting team members to generate best in class insights for our clients. 

Qualifications and Experience: Degree in a quantitative and/or business discipline preferred, examples include: Statistics, Computer Science, Data Science, Mathematics, Operations Research, Engineering, Economics A minimum of 4 years of experience in applied data science with a solid foundation in machine learning, statistical modeling, and analysis Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred Technical understanding of machine learning algorithms; experience with deriving insights by performing data science techniques including classification models, clustering analysis, time-series modeling, NLP; technical knowledge of optimization is a plus Expertise in developing and deploying machine learning models in cloud environments (AWS, Azure, GCP) with a deep understanding of cloud services, architecture, and scalable solutions. (e.g., Sagemaker, Azure ML, Kubernetes, Airflow) Demonstrated experience with MLOps practices, including continuous integration and delivery (CI/CD) for ML, model versioning, monitoring, and performance tracking to ensure models are efficiently updated and maintained in production environments Hands-on experience with manipulating and extracting information on a variety of large both structured and unstructured datasets; comfort with best data acquisition and warehousing practices Experience with commercial business analytics; experience at a consulting firm / agency is a plus Proficient Excel, PowerPoint presentation and excellent communication skills, both written and oral; ability to explain complex algorithms to business stakeholdersAbility to achieve results through others; experience and proven success record working in matrix, agile and fast-growing environments; and assertive, intellectually curious and continuously driving towards excellence. 

Candidates responding to this posting must currently possess eligibility to work in the United States L.E.K. Consulting is, experience Life at Visa.

Job Description

Visa Technology & Operations LLC, a Visa Inc. company, needs a Staff Data Engineer (multiple openings) in Foster City, CA to

Assist with building the Next Generation Data processing platform with cost-effective and distributed applications on commodity hardware using best-in-class technology components. Work on multiple projects on Data lake architecture environment that serves a highly functional, distributed, secure, scalable and resilient platform. See the code written and moved to production within just a few days for downstream applications to get the data on time. Drive innovation that makes products stand apart from our competitors, delight the customer with faster times for market delivery. Help customers achieve their real goals by understanding their requirements and how they respond to their business needs. Build partnerships with product management to ensure the products deliver real value. Analyze business requirements and architect a solution that is robust and scalable along with providing technical documentation of solution. Leverage new technologies to build the next generation of Data pipelines and Data Marts. Lead efforts to design and implement various components of our global transaction processing systems. Position reports to the Foster City, California office and may allow for partial telecommuting. 

Qualifications

Basic Qualifications:

Master's degree, or foreign equivalent, in Computer Science or related field and 5 years of experience in the job offered or in a related data engineer, systems engineer, or technical lead occupation. JavaScalaHadoopSparkHivePigCoding on SQLUsing DB2 database on Linux environmentAnalyzing business requirements and architecting/providing technical documentation of solutionsBuilding Data pipelines and Data MartsFollowing and creating software best practices and processes

Additional Information

Worksite: Foster City, CA

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Travel Requirements: This position does not require travel

Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an 

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $170,955.00 to $231,400.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program., source_sentence: Here's a concise job search query with up to 3 specialized skills:

Senior BI Analyst (Data Visualization, Dashboarding, Business Analytics) - Pharmaceutical Industry

This query highlights the key responsibilities of the role, including data analysis, visualization, and business intelligence expertise, as well as the industry-specific aspect.
sentences: requirements.Supports a database optimization project supporting trade dress cut-over requirements.Prepare and present reports for and to key leaders throughout the organization. Perform and assist with additional duties as directed by the Project Lead/Team Leader.


The minimum qualifications for this role are:

The successful candidate will have preferably completed a minimum of their sophomore year and be currently enrolled in an accredited college or university in a Data Analytics, Industrial Engineering, Supply Chain, or a related field of study.A minimum 3.0 GPA is strongly preferred, however, a combination of experience and/or education will be taken into consideration.Must possess advanced computer skills, MS Office, Power BI/Tableau, Data Analytics platforms.Knowledge of Data Analytics, Industrial Engineering or Supply Chain competencies.Strong verbal and written communication including presentation skills.Able to work in diverse multi-level, cross-divisional and multi-cultural working environment.Excellent organization skills, takes initiative and is proactive and persistent.


The salary range for this position is: If pursuing Bachelors degree = $20/hour, if pursuing Masters degree = $25/hour, if pursuing Doctorate degree = $30/hour.

At Viatris, we offer competitive salaries, benefits and an inclusive environment where you can use your experiences, perspectives and skills to help make an impact on the lives of others.

Viatris is, experience in machine learning, distributed microservices, and full stack systems  Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake  Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community  Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment  Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance 

Basic Qualifications: 

 Bachelor’s Degree  At least 4 years of experience in application development (Internship experience does not apply)  At least 1 year of experience in big data technologies 

Preferred Qualifications: 

 5+ years of experience in application development including Python, SQL, Scala, or Java  2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)  3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)  2+ year experience working on real-time data and streaming applications  2+ years of experience with NoSQL implementation (Mongo, Cassandra)  2+ years of data warehousing experience (Redshift or Snowflake)  3+ years of experience with UNIX/Linux including basic commands and shell scripting  2+ years of experience with Agile engineering practices 

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is 

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC)., requirements, identifying relevant data points for analysis, scrutinizing data to derive insights, and presenting findings through visualization. Additionally, the analyst will provide support for verification and user acceptance testing, as well as conduct training sessions to facilitate the adoption of new solutions. Their overarching goal is to redefine how data is utilized, promoting informed decision-making across the organization.

Relationships

Reports to a Sr Manager – Enterprise Analytics.

Interacts with internal stakeholders across various business units as well as external suppliers and partners.

Essential Functions

 Have a strong data and analytics background, experienced in building dashboards and analytics solutions for functional and cross-functional teams, as well as proficient in data modeling and report visualizations  Collaborate with business stakeholders to address complex business challenges  Responsible for identifying, analyzing, and interpreting trends or patterns in complex data sets  Able to independently manage multiple projects with competing priorities  Leverage data, descriptive and predictive analytics, and data visualizations to monitor and improve business processes through actionable insights that drive operational excellence  Excellent problem solving, critical thinking, and communication skills with the ability to understand, communicate, and present technical and complicated analyses/solutions in a clear and simple manner to stakeholders  Serve as a technical authority in analytic tools and best practices providing support in training, mentoring, and enhancing the skills of other team members  Should have excellent communication skills, written and verbal, high attention to detail, and the ability to work effectively in cross-functional, matrixed teams  Acts as a primary liaison between the business function and vendor to provide updates, ensure alignment and monitors vendor activities  Should have an expert understanding of the software development lifecycle, while working with hybrid teams including dev teams and third-party vendors 

Physical Requirements

0-10% overnight travel required. 10% travel including some international.

Qualifications

 Education Level: Bachelor’s degree in business, information systems, computer science, or related field preferred  Experience Level: 8+ years related experience in delivering BI and analytics solutions  Specific or technical job skills: Experience in BI solution design, data management and database development techniques  Experience in Dashboarding and Visualization Technologies (Qlik Sense, Tableau, Power BI etc.) is a must  Working knowledge of data modeling, data warehousing, and ability to access relational and multi-dimensional databases (e.g. SQL, Snowflake, Redshift)  Working knowledge of augmented analytics tools like Tellius/Thoughtspot  Ability to work independently  Demonstrated problem solver with an ability to provide technical solutions to a wide range of complex problems  Excellent technical writing, document organization, technical document review and analytical thinking skills are required  Excellent interpersonal, negotiation, written and oral communication skills  Expert knowledge of systems analysis and design techniques  Knowledge of all phases of the project and system development methodologies 

Preferred Skills

 Knowledge of Pharmaceutical Data like iQVIA, KOMODO, Veeva, Customer or Product Master Systems is a plus  Knowledge of Snowflake Database is a plus  Experience in handling onsite/offshore team is a plus  Experiences in agile development and testing preferred 

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.

At Novo Nordisk we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we’re life changing.

Novo Nordisk is 

If you are interested in applying to Novo Nordisk and need special assistance or an accommodation to apply, please call us at 1-855-411-5290. This contact is for accommodation requests only and cannot be used to inquire about the status of applications., source_sentence: Here's a concise job search query:

Data Analyst (5+ years) - Power BI & Excel expertise required for remote construction data analysis role with competitive pay and benefits.

This query highlights the essential skills and requirements mentioned in the job description, while excluding generic terms like data science or software engineering.
sentences: Qualifications)

 5+ years of data analytic, data validation, data manipulation experience Six Sigma yellow or green belt certification Strong Power BI skills Strong Excel skills

How To Stand Out (Preferred Qualifications)

 Six Sigma Black Belt certification

#DataAnalysis #RemoteWork #CareerGrowth #CompetitivePay #Benefits

At Talentify, we prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. Talentify is not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.

Talentify helps candidates around the world to discover and stay focused on the jobs they want until they can complete a full application in the hiring company career page/ATS., experienced data scientist who thrives on innovation and craves the vibrancy of a startup environment.
ResponsibilitiesProven experience in applying advanced data science algorithms such as neural networks, SVM, random forests, gradient boosting machines, or deep learning.Demonstrable expertise in at least three classes of advanced algorithms.Prior experience with live recommender systems and their implementation.Proficiency in deep learning frameworks, preferably TensorFlow.Proven track record in implementing scalable, distributed, and highly available systems on Cloud Platform (AWS, Azure, or GCP).Strong machine learning and AI skills.Strong communication skills, adaptability, and a thirst for innovation.High autonomy, ownership, and leadership mentality are crucial as you will be a pivotal member shaping our organization's future.Strong skills in data processing with R, SQL, Python, and PySpark.
Nice to haveSolid understanding of the computational complexity involved in model training and inference, especially in the context of real-time and near real-time applications.Familiarity with the management and analysis of large-scale assets.A team player with a collaborative mindset who is eager to learn and apply new methods and tools.A sense of pride and ownership in your work, along with the ability to represent your team confidently to other departments., Skill set Required: Primary:Python, Scala, AWS servicesNoSQL storage databases such Cassandra and MongoDBApache Beam and Apache SparkAmazon Redshift, Google BigQuery, and Snowflake Secondary:Java, Go languageMicroservices frameworks such as Kubernetes and Terraform.
datasets: tudorizer/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: 0.9901960492134094
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: 114
Created: 2025-07-10 12:31:19