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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
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This is a chance to join a small entrepreneurial scientific research team of three people working for a top-tier law firm that emphasizes intellectual property and business litigation, focusing on research and the hands-on software development of deep learning data systems that will be used by industry-leading lawyers working on complex patent litigation.
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It has the mission to explore, enable and exploit artificial intelligence, machine learning, natural language processing, image recognition and cognitive computing at scale for countless use cases across Alpha/CRD, Global Services, Global Advisors, Global Markets business lines, and corporate functions.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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As a data scientist for PRS, you will develop predictive modeling / machine learning solutions to complex business problems and create value to the business. If the candidate does not have a background in Actuarial science, the candidate should have 4+ years of industry experience building and analyzing machine learning models and should hold a graduate degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Work in a collaborative environment with global teams to drive client engagements in a broad range of industries to design and build scalable AI and Machine Learning solutions, solve business problems, and create value by leveraging client data.
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FM Global is seeking a Machine Learning Operations Data Engineer II to join our AI/ML team to support Machine Learning Engineering, working very closely with Data Science, Data Engineering, Subject Matter Experts and Solution Architecture teams.
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Proven prior experience as a Machine Learning Engineer, Data Engineer, Software Engineer, or similar role. Stay up to date with the latest advancements in machine learning and data science to ensure our solutions are cutting-edge and effective.
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The machine learning engineer will be responsible for data from the electronic data repository, including EEG, video, and peripheral blood biomarkers. Principal Duties and Responsibilities: The machine learning engineer will work and mentor a team of researchers in searching for patterns hidden in large data sets for research in neurology.
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Develop experimental and analytic plans for machine learning algorithms and data modeling processes, use of strong baselines, and ability to accurately determine cause and effect relations.
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The Reservoir Engineer IV - Machine Learning will perform and lead reservoir engineering technical work for the Permian Business unit working on projects including quantifying reserves and resources and providing reservoir engineering support for efficient development of Civitas’s Permian Assets.
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As a Machine Learning Operations Data Engineer II you will develop platform tooling, deploy data science models to production and monitor production performance. You will support Machine Learning projects end-to-end and develop platform tooling for the Data Science team.
$127,100 a yearExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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The Data Science team at Meijer leads the strategy, development and integration of Machine Learning and Artificial Intelligence at Meijer. Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs.
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Etegent is addressing a range of opportunities in technology areas such as machine learning, intelligence sensor data exploitation for critical national defense needs, high performance computing, high performance motion control, high temperature sensing, and software engineering.
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Collaborate with business, engineering, infrastructure and data science teams to translate their needs or challenges into production-grade Artificial Intelligence (AI) and Machine Learning (ML) deployment architectures for batch, real-time streaming and edge deployments.
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As a Sr. Data Scientist, reporting into the Head of Data & Strategy at TRKKN North America (NA), you’ll focus on building scalable machine learning and AI products to help evaluate and optimize the business impact of our clients’ marketing investment.
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hands machine learning data engineering business jobs Company: Meta in United-states, District Of Columbia
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