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CoreWeave builds cloud solutions for compute intensive use cases - VFX and rendering, machine learning and AI, batch processing, and Pixel Streaming - that are up to 35 times faster and 80% less expensive than the large, generalized public clouds.
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You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
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As a Senior Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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Two (2) years of experience must include: Java, J2EE; Java spring boot; JMS; SOA; OOAD; OOP; JEE design; React / Angular; Typescript / JSX; Javascript; Eclipse; Spring Tools; Visual Studio Code IDE; IntelliJ IDE; Server-side application frameworks, including JSP and Servlet; Restful and SOAP-based web services, including JSON and XML; Unit testing frameworks, including Junit and Jest; SQL Data Store – MySQL; AWS RDS / DB2; and Azure Kubernetes Services (AKS.
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Strong understanding of Databricks, SQL and NoSQL data stores, preferably Oracle, Aurora Postgres, MongoDB, and other AWS cloud offerings. A little about ADP: We are a global leader in HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more.
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Prior experience in Python, SQL, distributed computing tools such as Databricks, AWS or other Cloud platforms; Well versed with Scikit-learn, PyTorch or other machine learning libraries and platforms.
$119,900 - $321,390 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with coding in SQL, Python and basic Machine Learning packages (e.g. Sci-Kit Learn); Experience with analyzing, engineering, and refactoring frequent data-fetching SQL queries.
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Experience applying a range of analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory, link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the exploration.
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We are a global leader in HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more. ADP has a deep commitment to diversity, equity, and inclusion as a global Best Places to Work, DiversityInc® Top 50 Company, Best CEO and company for women, LGBTQ+, multicultural talent, and more.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure.
$137,700 - $229,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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As a Data and Analytics Specialist, you will transform raw data into actionable insights using advanced analytics, AI, and machine learning. Experience with data analysis tools (e.g., Python, R, SQL.
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Ampcus Inc is currently hiring for a Healthcare Data Science Advisor - Machine Learning based at Morris Plains, NJ (HYBRID POSITION) position for 12 Months. Assist in the development of new Machine Learning models to predict cost trends and customer behaviors and perform data mining by applying machine learning and supervised learning algorithms.
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Develop and enhance software programs and data structures that meet business objectives. You’re always learning new technologies and processes with tools and other training courses, conferences ADP offers, and operating with a “learn as you go” approach with a willingness to figure out new ways of doing things.
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LLM, RAG, Data engineer, Python, Pyspark, Machine learning, Gen AI, AI/ML, Vector database, Databricks, Snowflake, Experience in working with Machine learning and AI concepts related to RAG architecture, LLMSs, embedding and data insertion into a Vector data store.
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Proficiency in Python, R, Spark and SQL for data analysis, modeling, and manipulation. Bachelor’s degree REQUIRED - Master’s preferred in Data Science, Computer Science, Statistics, Mathematics or other quantitative discipline.
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