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Design, implement, and operate a framework for Machine Learning Operations (MLOps) on AWS. The ideal candidate will be responsible for building an automated DevOps pipeline to support the deployment of machine learning models to multiple targets and developing new strategies for Fraud and AML.
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Machine Learning Operations (MLOps) Engineer. Additional Skills: Understanding of containerization (Docker, Kubernetes), ability to effectively collaborate with data scientists and engineers, ability to drive Machine Learning Operations (MLOps) process to product incremental model improvements.
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We are first and foremost a technology company, working at the leading edge of capabilities like machine learning, autonomy, distributed networking, and multi-modal sensor fusion. Command & Control is one of Anduril's Business Lines focused on building a next-gen software-defined distributed C2 architecture focused on orchestrating and automating 3rd party combat-fielded sensors and strike-networks for synchronized joint operations.
$112,000 - $204,000 a yearExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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In 20 technology centers worldwide, our team of 50,000 technologists design, build and deploy everything from enterprise technology initiatives to big data and mobile solutions, as well as innovations in electronic payments, cybersecurity, machine learning, and cloud development.
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Successfully deploying our complex hardware and software products requires collaborating with nearly every internal Anduril team - business development, engineering, product, logistics, finance, legal, contracting, technical operations, and many more.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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The AI Operations and Data Transformation Engineer will develop and implement a strategy to combine big data and machine learning to automate IT operations processes (e.g., event correlation, anomaly detection, causality determination, etc.
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At Anduril, the path to success weaves through the organization - account teams, engineering, logistics, technical operations, and more. Through collaboration with our engineering, logistics, and technical operations teams, Mission Operators are in charge of deploying our products to the field, training end users, and ensuring the high performance of our products.
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Current advancements are underway in autonomous movement and mobility, artificial intelligence and machine learning, manipulation, simulation, robotic management software, predictive analytics, and much more.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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We are seeking a Machine Learning Data Operations Engineer, with a strong understanding of the complex relationship that is found in the Machine learning and data annotation space.
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The team also adopts various tools developed by AppBank Engineering team to automate failures using machine learning techniques, notify discrepancies in the health of production and automation of health-restoration, with a focus on continuous measurement of risk and cost.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. and experience learning new languages, technologies, frameworks and APIs.
$161,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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3+ years’ experience as a software engineer, Machine Learning engineer, or DevOps engineer (Python preferred) 5+ years’ experience as a software engineer, Machine Learning engineer, or DevOps engineer.
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Requirements Collaboration : Collaborates closely with customers, machine learning, and data science teams to thoroughly understand data science project requirements and objectives. CI/CD Support : Takes the lead in implementing robust Continuous Integration (CI) and Continuous Deployment (CD) code management pipelines for machine learning models.
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Apple is seeking a highly skilled and proactive Machine Learning Operations Engineer to join our worldwide sales team, Data Solutions & Initiatives (DSI). As an ML Ops Engineer, you will play a key role you in deploying, managing, and optimizing machine learning models in our production environment.
$170,700 - $256,500 a yearExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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As an ML Operations Engineer (MLOps), you'll play a critical role in developing and maintaining scalable and reliable machine learning pipelines and systems. Strong background in machine learning operations (MLOps) or DevOps, with hands-on experience in deploying and managing machine learning models in production environments.
$150,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago
machine learning jobs Title: operations engineer
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