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The Machine Learning Engineer will be responsible for architectural design and planning, advanced data pipelines, model integration and optimization, scalability, performance and research and innovation supporting production AI systems.
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We are actively seeking a Senior Machine Learning Engineer to contribute to innovative projects for a prestigious Global Financial Services organization. Senior Machine Learning Engineer.
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Software Resources has an immediate job opportunity for a Pipeline Engineer with a major corporation CA. (Need to be local to either Santa Monica or Burbank/Glendale.) Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization.
ExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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We are looking for a Machine Learning Engineer who can bring bleeding edge machine learning and optimization models into production together with a highly multi-disciplinary team of data scientist, software development engineers, strategic partners, product managers and subject domain experts.
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In this role, the Machine Learning Engineer will work with a variety of data-driven technologies, including traditional and deep learning paradigms. The Machine Learning Engineer is responsible for proposing, planning, executing, and analyzing research and development machine learning projects related to the field of advanced manufacturing artificial intelligence.
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As a Machine Learning (ML) Engineering Manager Sr you will lead a team of ML Engineer and Software Developer's to deploy machine learning models in production environments at scale.
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Engineering: controls, estimation theory, digital signal processing, reinforcement learning optimization, and machine learning. Scientific Computing: software design, algorithm implementation, and software analysis, testing, and optimization.
$80,900 - $164,300 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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At least 10 years of industrial/academic experience advancing the state-of-the-art machine learning-based research through demonstrable, verifiable technical results in the area of natural language processing, human language understanding, computational linguistics.
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We are now looking for a Senior Machine Learning Engineer (LLM)! Senior Machine Learning Engineer, LLM page is loaded. Senior Machine Learning Engineer, LLM.
$180,000 - $339,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We’re looking for a Machine Learning Engineer who will build out and design machine learning infrastructure for a team of data & remote sensing scientists, working collaboratively with the Analytics and Software teams to deliver data-driven products and solutions.
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The selected engineer will support varied product lines including AI image processing exploitation, digital signal processing, autonomous vehicle software, command and control, Man-Machine Interfaces, sensor/SONAR systems and simulation/stimulation.
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Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data. This position is with the Signal Processing team at WHOOP. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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Proven prior experience as a Machine Learning Engineer, Data Engineer, Software Engineer, or similar role. We are seeking an experienced Machine Learning Engineer (MLE) Manager to join our team.
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Advanced skills in Process modeling software such as SYSCAD, Aspen, and ChemCad as well as Python for Machine Learning and Data Science, MATLAB, Plant Triage / Expertune Loop Tuning, SEEQ, Pipe-Flo Advantage and Foxboro / Honeywell DCS is preferred.
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machine learning software engineer jobs Title: deep learning infrastructure engineer
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