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The adjacent areas of major focus are Machine Learning Infrastructure and workflow, Experimentation Platform, Knowledge Graphs and various Data Science and Analytics related tooling.
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Familiarity with machine learning and data science ecosystems especially AWS Sagemaker and Databricks is highly preferred. Familiarity with modern data science and product analytics tools and techniques such as R, Machine Learning, and advanced statistics is a plus.
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We are currently seeking a Machine Learning Engineer to join our Alternatives Data Management team. Optimize machine learning and relevant data processing code for scale and robustness.
$125,000 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Have a strong working knowledge of machine learning algorithms such as XGBoost, CNNs, etc. Experience with deep learning frameworks such as PyTorch and TensorFlow, and experience in CV, NLP, or related areas is a plus.
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Ability to convert a research idea/paper to code in Python and typical machine learning development toolkits. We're looking for a Machine Learning Engineer who will be responsible for inventing and delivering functionality across Adobe's suite of creative products that radically simplifies typographic decisions and processes for our users.
$135,200 - $250,900 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Prototypes and do proof of concepts (PoC) in one or all the following areas: LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection/classification, tracking, etc. Stay up to date with the latest advancements in LLM, NLP, deep learning, machine learning, and object detection algorithms, and proactively identify opportunities to leverage new technologies for improved solutions.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Qventus is on a mission to take modern technologies and principles that have been proven in other industries — artificial intelligence, machine learning, behavioral science, and data science — and apply them to simplify healthcare operations.
$135,000 - $165,000 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Engineering and Pipeline Management for Machine Learning Systems. We use Python a lot, spark, big query, airflow, java is a plus. on data scientist. Competencies: Pipeline Orchestration, Data Transformation, and Stream Processing.
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This involves a deep understanding of Prompt Engineering, Machine Learning, and Artificial Intelligence, as well as the seamless integration of Large Language Models, server applications, and data sources.
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We use cutting edge machine learning, data mining and optimization algorithms on this data. Continuous Learning: The field of big data is ever evolving, so a willingness to learn and adapt to new technologies and techniques is essential for staying up to date with the latest advancements in data management and analysis.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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They lack a Data Scientist / Machine Learning Engineer and seek someone to bridge this gap. Title: Data Scientist Level V / Machine Learning Engineer Level V.
ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, SQL, SSIS, SSAS, SSRS, PySpark, Microsoft Fabric, dbt, Linux, Terraform, Bicep, Data Ops, Purview, Git, Delta, Pandas, Spark SQL.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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MS or Ph. D. in Computer Science, Software Engineering, Battery Engineering, Machine Learning, Statistics, Operations Research or related field. Strong working knowledge of Python, SQL, and Git.
$60 - $64 an hourExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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2+ years as data engineer, software engineer, or data analyst. Job Title: Data Engineer II. Write ELT pipelines in SQL and Python. Basic knowledge of SQL databases, Spark, data warehousing, and shell scripting.
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Develop and maintain automated systems, knowledge graphs, and chatbots using natural language and machine learning techniques. Preferably using Python and SQL. Conduct data cleaning, data validation, and data visualization to present findings and trends to stakeholders.
Full-timeExpandApply NowActive JobUpdated 19 days ago
machine learning python jobs Title: data engineer in Santa Clara, CA
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