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As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Relevant data science skills TensorFlow Keras PyTorch Python Numpy Panda What You Will Be Doing Tech Breakdown · 90% Machine Learning / Data Science · 10% Other data Daily Responsibilities · 80% Hands On · 20% Team Collaboration The Offer Stock Options available You will receive the following benefits: One of the most interesting aspects of working at a startup company is gaining equity in the company, which means our success is your success.
$130 - $160Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The role requires JD and admission to the USPTO. Duties:Conducting patent prosecution in the areas of electrical engineering, computer science, software-related technologies, data science, AI, networking technologies (especially network security), machine learning, artificial intelligence, and hardware security.
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The methodological research may include but is not limited to statistical models for integrative deconvolution and machine learning methods for prognosis and therapeutic biomarker development.
$68,604 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong background in computer science, mathematics, or related fields, with expertise in machine learning, deep learning, computer vision, natural language processing, and world model architectures.
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Our Corporate Technology Machine Learning team at JPMorgan Chase focuses on solving challenging business problems such as Anti-Money Laundering and Surveillance through data science and machine learning techniques across Risk, Compliance, Conduct and Operational Risk. As a Lead Data Scientist on the team, you'll shape the technology solutions that drive strategic initiatives across the firm.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Public cloud, artificial intelligence, machine learning, mobile, Ability to evaluate current and emerging technologies to recommend the best solutions for the future state architecture Experience of Atlassian Suite (Jira, Confluence, Atlas, Jira Align, In-depth knowledge Amazon Web Services, Google Cloud Platform, or Microsoft Azure secure architecture experience Preferred qualifications, capabilities, and skills CEH, LPT, OSCP, GPEN, GXPN, and/or CompTIA PenTest.
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The IT intern will be able to work on and become familiar with predictive analysis and data visualization techniques using relevant tools such as Python and Power BI or applicable Coding/Machine Learning languages and platforms.
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Use digital workflows and tools and harness the power of robotic process automation, machine learning, and artificial intelligence. Use digital workflows and tools and harness the power of robotic process automation, machine learning, and artificial intelligence.
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Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling.
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5+ years of experience in a relevant role (data scientist, data analyst, machine learning engineer, etc.) Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Data mining, machine learning, statistical modeling tools and underlying algorithms. As a Data Science Sr. Manager at CarMax, you’ll apply your passion and expertise in data, machine learning, and entrepreneurship to create data-science applications that enrich CarMax’s culture of innovation.
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Extensive experience in developing and implementing AI algorithms and models, leveraging machine learning techniques such as deep learning, natural language processing. Experience in leveraging continuous integration and robust build/test automation, with a preference for cross platform stacks and containerization (Azure DevOps, GitHub Actions, JFrog Artifactory.
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machine learning jobs in Houston, Phenix-city, Alabama
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