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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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Strong background in platforms and tools such as OpenAI, Azure Semantic Kernel, AWS Bedrock, and other machine learning technologies, with a focus on Generative AI and open-source AI frameworks.
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Swish is seeking a talented NLP Engineer to join our team and help us push the boundaries of what is possible with machine learning in the field of sports analytics. Design and implement machine learning models using Natural Language Processing (NLP) to analyze sentiment analysis around players to determine expected output.
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Catapult HLS tool isused by leading hardware design and systems companies for cutting edgesemiconductor chip design in edge computing/automotive/machine learning/wirelessdesign/video, image processing etc.
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TRM leverages big data and machine learning to prevent cryptocurrency fraud and financial crime. (Full Time) Software Engineer - DevOps at TRM Labs (United States) | BEAMSTART Jobs.
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We’re looking for a self-motivated, highly driven Senior Software Engineer to join our Machine Learning Operations (MLOps) team. As a team, we enable Attentive’s Machine Learning (ML) practice to directly impact Attentive’s AI product suite through the tools to train, inference, and deploy ML models with higher velocity and performance, while maintaining reliability.
$160,000 - $240,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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To further innovate and enhance our capabilities, the Lockheed Martin Rotary and Mission Systems (RMS) Systems of Systems Artificial Intelligence (AI) team is looking to recruit a Machine Learning Engineer based in Manassas, Virginia.
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4- 8 years of experience as machine learning engineer/data scientist. Experience using machine learning libraries or platforms, including Tensorflow, Caffe, Theanos, Scikit- Learn,or ML Lib for production or commercial products.
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Understanding of machine learning fundamentals and experience with popular ML frameworks such as JAX, PyTorch, or TensorFlow. These efforts have resulted in making machine learning more accessible to teams at Waymo, including Perception, Behavior Prediction, Planner, Routing, Maps and Research, ensuring greater degrees of consistency and repeatability, and addressing the "last mile" of getting models into production and managing them once they are in place.
$192,000 - $243,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
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To do this, you must interface directly with machine shops, sheet metal fabrication shops, internal staff members and management, as well as customers. Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities.
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We are actively seeking a Machine Learning Engineer with Top Secret or SCI clearance to join our highly skilled team. Machine Learning Engineer - Top Secret or SCI Clearance Required.
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You will work in a dynamic and challenging environment alongside our customers which include Lockheed Martin, General Dynamics, Northrop Grumman, Raytheon, US Army, US Navy, US Air Force, the Missile Defense Agency, and NASA on cutting edge technologies including machine learning, augmented and virtual reality, big data analytics, and more.
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Working closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of quantum computing, programming systems, and machine learning. Good understanding of Machine Learning and Deep Learning technologies.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience using one or more quantum computing and deep learning frameworks (e.g., Qiskit, Cirq, Pennylane, TNQVM, TensorFlow, PyTorch). Ideal candidates will have experience building software systems and interest in advancing the state-of-the-art in applications of HPC and GPUs to the quantum computing ecosystem.
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machine learning software engineer developer jobs Company: Gliacell Technologies
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