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Experience with the Azure Ecosystem (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Machine Learning (AML), Azure Cognitive Services, Azure Storage) Experience with Machine Learning cloud technologies such as Azure Machine Learning (AML), AWS SageMaker or Spark ML.
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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 1 month ago - UpvoteDownvoteShare Job
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2+ years of professional experience as a Machine Learning Engineer, Data Scientist or in a related role for candidates with a PhD, or 5+ years of experience for candidates with a Master’s degree.
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Machine Learning: TensorFlow, Scikit-Learn, Spark. IAC and Deployment Automation: Terraform, Atlantis, Terraform Cloud. Staff Engineer who brings not only a background and experience in backend API development, integrating AWS services (ECS, SQS, SNS, Lambda, etc.
$185,000 - $216,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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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Hands-on experience with technology such as sensors and signal processing, machine vision and machine learning, and internet-of-things type technology. Knowledge of autonomous sensor deployment and AI-driven machine vision.
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The candidate should also have experience with the deployment and administration of Endpoint Detection and Response (EDR) systems including CrowdStrike Falcon and Trellix HX. The engineer should have experience conducting regular audits to ensure security controls such as CrowdStrike and our Qualys vulnerability software are functioning as expected.
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The Senior Machine Learning Engineer will serve as a key technical leader, driving the design, development, and deployment of advanced machine learning applications.
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Familiarity with Azure services related to AI and ML, such as Azure Machine Learning, Azure Cognitive Services, and Azure Databricks. Our team is seeking a Senior Data Scientist / Machine Learning Expert with specialized experience in Generative AI and Large Language Models (LLMs), chatbots, and natural language processing to contribute to transformative projects for a government client within the Department of Homeland Security (DHS.
$180,000 - $250,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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The Leidos has an exciting opening for you, as a Cloud Engineer,to play a critical role with design, engineering, development, deployment, and use of software for the DOMEX Technology Platform (DTP) where we support our client's mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and IC enterprise.
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As an ML Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data. If this describes you, read on – we want to hear from you THE GAME PLAN Everyone on our team has a part to play Building multi-layer serving architectures for ML models Business intelligence tools (e.g., Tableau, Knime, Looker) Data security and privacy (e.g. GDPR, CPP) Data governance and data testing frameworks.
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We integrate off the shelf and new development efforts to sustain and enhance the NMEC architecture and by leveraging cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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Experience with container deployment platforms such as Kubernetes, Openshift, or GCE. As a Cloud Engineer, you will be responsible for technical duties such as infrastructure design, creation, maintenance, and support associated with cloud computing.
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The Machine Learning Engineer will support the development and deployment of machine learning models for cyber missions and targets. Machine Learning Engineer.
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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. Evaluate and recommend new tools, technologies, and best practices for machine learning development and deployment.
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deployment machine learning engineer jobs Company: Danaher Corporation in Falls Church, VA
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