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Automate testing of the data pipelines and configure as part of CICD.Optimize data processing and query performance for large-scale datasets within AWS and Databricks environments.
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Our data engineering team is also responsible for quality curation of data to ensure our products You will be joining a talented, fully remote Data Science, Engineering and Analytics team that handles a wide range of requests including customer data processing, weekly report automation, new product development and complex data integration.
$120 - $150 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expertise in SQL DB, No-SQL DB, Web Services, Data Intensive applications, Data Processing pipelines. Prior experience working on large scale distributed systems or data processing systems.
$124,000 - $234,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Job Title: Al/ Machine Learning Engineer (Data Science Platform) AI/ Machine Learning Engineer (Data Science Platform) Explore, promote, and implement semantic data capabilities through Natural Language Processing, text analysis and Machine Learning techniques.
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Bachelor’s degree in computer science or similar field with 10 years' experience as a data engineer, Database Administrator, or software developer. Design and build data processing pipelines using tools and frameworks in the Databricks/Azure ecosystem.
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Ph. D. Master’s degree preferred in engineering, economics, statistics, computer science, or related quantitative field 10+ years of backend software or data engineering experience with at least 4 years’ experience as lead data engineer of a development scrum team.
$149,200 - $248,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Back-End Development: Build robust, scalable, and high-performance server-side components supporting the trading platform's execution, data processing, and analytics. Requirements:Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field from a Top-25 CS programProven experience as a Front-Office developer working on electronic trading platforms with specific exposure to SOR, DMA, Dark Pool Liquidity, and algorithmic execution.
Starting at $200,000 - $650,000 a year (bonuses)ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The challenge is only getting worse, as high deductible health plans are the fastest growing plan design in the U.S.Cedar’s mission is to leverage data science, smart product design and personalization to make healthcare more affordable and accessible.
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Hands-on experience with semiconductor processing and wafer fabrication. · MS or PhD in Electrical Engineering, Materials Science, Physics, or related fields. · Experience with data mining and statistics, SPC and DOE.
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1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing machine learning models with business impactExperience with machine learning methods in Recommendation System, Search, Causal Inference, Optimization, Time Series, Natural Language Processing, Large Language Model, Computer Vision.
$140,100 - $210,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in Python, SQL, and cloud-based data processing tools. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data.
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Handle projects in various ML disciplines, including Natural Language Processing (NLP), unstructured data analysis, predictive modeling, and classic machine learning. Experience in ML disciplines, particularly in NLP, unstructured data analysis, predictive modeling, or classic machine learning, is a significant advantage.
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Experience with embedded real time systems with limited resources (memory and processing) Bachelor's Degree in Computer Science or related field and 5 years of experience building scalable ecommerce applications or mobile software.
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4+ years of hands-on industry data science experience, using typical machine learning and data science tools including pandas, scikit-learn, gensim, nltk, and TensorFlow/PyTorch.
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2+ years of experience working with LLMs, Natural Language Processing (NLP), and/or prompt engineering. Work on design and implementation of best practices for Vector DB architecture, including data modeling, entitlements, indexing, and query optimization.
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data science processing jobs Title: engineer in New York, NY
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