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Experience working with machine learning frameworks (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow) and distributed big-data tools (e.g. Spark) is a plus. 2+ years of professional experience as a MLOps Engineer, Data Engineer, or equivalent role, focusing on machine learning and/or ML infrastructure.
$110,000 - $142,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Databricks Certifications (ie: Data Engineer Associate; Data Engineer Professional, Machine Learning Associate, Machine Learning Professional) Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Machine Learning Engineer in the Search Data Science team will play a pivotal role in supporting the architecture and development of AI initiatives within the Sam's Club division of Walmart Inc. This position is key to crafting the ML/AI models that will enhance member experiences across eCommerce, Scan & Go, and in-club shopping.
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As a Machine Learning Engineer, you will work as part of a team to assist, develop, and collaborate in ML models and algorithms, specifically focusing on integrating Azure OpenAI services and Large Language Models.
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Data Warehouse and Big Data Experience: Possess hands-on experience in designing and maintaining data warehouses and/or data lakes using big data technologies such as Hadoop, Spark, and especially DataBricks.
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Five or more years of industry experience in data science with a focus on data analytics, machine learning, and deep learning. Data Governance: Implement and uphold robust data governance policies and procedures to ensure the secure and ethical use of internal company data and imagery for machine learning initiatives while adhering to privacy regulations and industry best practices.
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Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA or St. Louis, MO.
$97,258 - $131,584 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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We are currently sourcing for a Lead Software Engineer, Machine Learning to work at Fidelity Investments. As a Machine Learning Engineer, build and maintain large scale ML Infrastructure and ML pipelines.
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Big Data Expertise : 3+ years of hands-on experience with major Big Data technologies and frameworks, including Spark, Hive, ZooKeeper, HDFS, Presto, Hadoop, MapReduce, Tensorflow, and more.
$130,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We are seeking an experienced Senior Machine Learning Engineer to spearhead the development of machine learning models focused on optimizing wellness and fitness data analysis.
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These technologies may include artificial intelligence, machine learning, statistical techniques, mixed integer linear programs, reporting/big data analysis, dashboarding, data integration, and other heuristics/algorithms.
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The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
$9 - $11ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP. Drive the adoption of data science-driven mechanisms and machine learning models to continuously evaluate and improve catalog data quality.
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The FBA team is looking for a Senior Economist with strong machine learning, causal inference, and econometrics skills to join our cross-domain group of economists, applied scientists, research scientists, and data scientists.
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Big Data Technology Proficiency: Engage with a range of Big Data technologies, including but not limited to Spark, Presto, Hadoop/HDFS, Hive, and more. At Alluxio, we're seeking a Technical Support Engineer who's eager to dive into the exciting realm of open-source data orchestration.
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machine learning software engineer senior big data jobs Company: Capgemini Government Solutions Llc
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