Sr Machine Learning Engineer · AnywhereEditFilters
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… As a Senior Manager – V&A Insights, you will be responsible for leading team to develop and deploy advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large …
… solutions across the organization. This role is intended for a senior professional with deep expertise in machine learning, generative AI, solution architecture, and MLOps, combined with the ability to translate business …
… KLA service and safety standards Working closely with the GWS IFM team to integrate old and new systems. Learning how KLA products integrate with the facility infrastructure in terms of installation specifications and …
… analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If …
… priorities by delivering high-impact work across your area of expertise. Semiconductor Field Service Engineer (CSE) General Description: Primarily responsible for customer service activities associated with updating, …
… senior technical leaders to drive this architecture from the ground up across the following levels: Sr. Staff Engineer | Principal Engineer | Sr. Principal Engineer Note: All roles are hybrid based on-site …
… analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If …
… Carpenter business division to be established within Marsh Philippines. Operational Excellence & AI Data Engineer Role Summary: Lead/support the development and execution of analytics, automation, and AI-enabled solutions …
… AI infrastructure roadmaps. Drive architectural innovation by applying deep workload analysis to production machine learning frameworks. What we need to see: B.Sc. or M.Sc. in Computer Science, Computer Engineering, …
… a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities …
… a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities …
… automated deployment, testing, monitoring and operational controls for data workloads. Working knowledge of machine-learning lifecycle concepts, including training data, feature preparation, model integration, evaluation, …
New York City, New York, United States +2 locations2 postings
… based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 …
Cambridge, Massachusetts, United States +2 locations
… upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 …
… Role The power grid is changing — and the software behind it needs to change faster. As a Staff Software Engineer on GE Vernova's Applied Grid Innovation team, you'll build the backend platforms and artificial …
… 5. AI/ML, HPC & Strategic Engineering Talent AI/ML: Build talent maps and targeted sourcing strategies for machine learning, computer vision, data science and MLOps talent, combining campus pipelines from top AI programs …
… to answer key business questions that drive supply strategy and operational decisions using data science, machine learning and Generative AI. The Data Scientist, Sr. Specialist joins the Supply Risk Analytics team, …
… including cloud platforms, data pipelines, data models, distributed systems, APIs, security and governance, machine learning, and generative AI application patterns. You can lead architecture discussions, evaluate …
… including cloud platforms, data pipelines, data models, distributed systems, APIs, security and governance, machine learning, and generative AI application patterns. You can lead architecture discussions, evaluate …
