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As a key member of the Data Science team, you will help lead the development of analytical methods and data pipelines to harness our large-scale automated wet-lab capabilities to power our machine learning platform.
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Capgemini Government Solutions (CGS) LLC is seeking a highly motivated data scientist to develop Computer Vision and Machine Learning algorithms to build solutions. Experience using tools such as Azure’s Machine Learning and Cognitive Services; AWS’s SageMaker, Polly and Rekognition; DataRobot; or H2O.ai.
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Designing generative AI models using techniques like natural language processing and machine learning that can power interactive tools on HBS Foundry. This key technical role requires hands-on expertise across data science, machine learning, and AI solutions.
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As a Lead Machine Learning Engineer, you will develop robust advanced analytics and machine learning solutions that have a direct impact on the business. 5+ years of professional experience in software engineering, data engineering, machine learning, or related field.
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Expertise in one or more of the following areas: measurement/psychometrics, big data, machine learning, health outcomes analysis, or health services research. Expertise in one or more of the following areas: measurement/psychometrics, big data, machine learning, health outcomes analysis, or health services research.
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Primary Responsibilities include working as a key member of a hydraulic/ water resource design team, serving as a task lead/project engineer on small to large projects. Professional Engineer (PE) license.
$111,780 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Please apply online now for immediate consideration for this Operating Room RN opportunity or to connect with our team about all of the RN options in Massachusetts. We are also thrilled to recognize our very own SLP, Dr. Kelly Byrd as the American Staffing Association 2024 National Staffing Employee of the Year and Health Care Sector All-Star. We’re honored to connect Dr. Byrd to employment, share her incredible story, and support her family literacy nonprofit.
$21 an hourFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Proficient coding skills: advanced experience in Python for machine learning and causal inference, along with familiarity with workflow tools (e.g., Airflow, Composer) for batch and real-time processes.
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Job Title: Heavy Civil Engineer Location: Boston, Massachusetts About Us: We are a distinguished General Construction Contractor headquartered in Boston, Massachusetts. We look forward to welcoming a dedicated Heavy Civil Engineer to our team who is passionate about contributing to our ongoing success and the delivery of exceptional construction projects.
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Extensive experience in at least one cloud platform (e.g. AWS, GCP, Azure) and associated machine learning services, e.g. Amazon SageMaker, Azure ML, Databricks. Support AAG leadership in extending and growing our machine learning, engineering and analytics capabilities.
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Position Summary The Executive Office of Energy and Environmental Affairs (EEA) is seeking a Senior Network Engineer that will be part of the Network and Telecommunications Team under the directions of the Manager, Network Engineering & Telecommunications.
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Design and construct novel AAV capsid variants using rational design, directed evolution, machine learning, and other techniques. This role requires deep expertise in molecular biology, virology, and high-throughput screening techniques.
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Extensive experience applying various Machine Learning techniques, such as Time Series Forecasting, Recommendation Systems, A/B Testing, Dynamic Pricing, Logistics Optimization, Churn Analysis, Segmentation Analysis, Natural Language Processing, Deep Learning, and Reinforcement Learning.
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Geometry (mesh slicing, polygon arithmetic, mesh repair and generation), support structure generation, printer/desktop communication, and dynamic, real-time print failure detection (computer vision, machine learning.
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Deep understanding and practical experience in machine learning and natural language processing, especially with deep learning architectures. This role requires advanced expertise in artificial intelligence, including machine learning and natural language processing, and the ability to implement these technologies in production-grade systems.
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now machine jobs Title: devops engineer in Lynn, MA
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