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5+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow, PyTorch and LangChain with GPU and CUDA experience being extremely advantageous.
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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. Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
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10+ years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions. Boston, MA, Brooklyn, NY, San Francisco, CA, Washington, D.C., Remote, London, England 11-10-2023 HealthTech Azure Elasticsearch Docker AWS Python Machine Learning.
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Requirements: Advanced degree (Ph. D. preferred) in a field like Applied Linguistics, Computational Linguistics, or Data Science, with a focus on building and deploying machine learning models for text analysis.
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You’ll be working across our embodied AI org team to build, integrate, test and scale algorithms, tools, and machine learning solutions for autonomous driving. Troubleshooting and optimising machine learning models and systems - identify potential issues, challenge existing assumptions, introduce innovative solutions, and implement feedback loops to enhance model performance.
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Apply statistical and machine learning methods to solve large scale problems, including the full modeling lifecycle (e.g. data manipulation, building and evaluating models, interpreting and effectively communicating results, transitioning solutions to production, performance monitoring, recalibrating models, etc.
$50,000 - $130,000 a yearInternExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Deploy machine learning models and applications on cloud platforms like Azure ML or Databricks, ensuring seamless integration, scalability, and cost-effectiveness. Strong proficiency in developing machine learning models using Python machine learning packages, Azure Databricks, and other Azure technologies.
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Broad experience deploying production-grade machine learning solutions on-premise or in the cloud. Develop, deploy and support industry-leading machine learning solutions, aimed at solving client problems across industry verticals and business functions.
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Understanding and ability to implement Robotic Process Automation (RPA) and Machine Learning (ML) solutions to advance capabilities in Artificial Intelligence (AI) Working knowledge of tools like Jira, Confluence, Azure DevOps, ServiceNow.
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You will be involved in the design and development efforts for our big data solutions including data lake, Business Intelligence Solutions, Machine Learning, Data Pipeline and cloud-based data warehouse products.
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Machine learning libraries: TensorFlow, PyTorch, Scikit-learn , Deploying and optimizing different pipelines that support various data science processes. We are looking for candidate who can work without any sponsorship #W2 Machine Learning Engineer with 7+ years of experience in designing, building, and maintaining machine learning models and pipelines.
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Should have a strong background in at least two of the following areas: Algorithm Development, Machine Learning/AI and Data Analysis, Mathematical Modeling and Simulation, Digital Signal Processing, Control Algorithms Design.
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You will be working with electronic medical record (EMR) data to build and validate explainable machine learning models. Train, tune and validate machine learning models using Tensorflow, python and GCP cloud infrastructure.
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Overview of the Software Engineer - Machine Learning roleThe Williams-Sonoma, Inc. Technology organization seeks a talented Software Engineer - Machine Learning to assist with developing strategies, roadmaps, frameworks and solutions as a key member of our AI & Machine Learning team.
$100,000 - $130,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Completion of a Federal or State Certified Multi-Craft Maintenance OR Machine Repair Apprenticeship OR a minimum of two (2) years documented experience working in the trade. Completion of a Federal or State Certified Multi-Craft Maintenance or Machine Repair Apprenticeship OR a minimum of four (4) years documented experience working in the trade.
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machine learning working solutions jobs Company: Leidos in Mabelvale, Arkansas
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