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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. 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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What you'll bring to Circle: 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Experience with advanced robotic technologies such as AGV, ASRS, vision systems, machine learning and artificial intelligence Join our team and be a part of our global digital transformation journey toward factories of the future.
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The search is for candidates at the interface of data science/machine learning and industrial engineering, operations research, and management science, including optimization, statistical learning, computational social science, healthcare, logistics, and operations.
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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. Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA or St. Louis, MO.
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TechFlow has an immediate opportunity for a remote CAD Designer Intern to support our Energy and Mobility Solutions Team. The CAD Designer Intern will work directly with engineering staff to support the development of electrical systems CAD drawings of energy solutions for multiple clients, including DoD customers.
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The ideal candidate will have a strong background in machine learning, data science, and software engineering. Vagaro is seeking an experienced and innovative Machine Learning Engineer to join our dynamic team.
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Masters' or PhD's degree in Robotics, Computer Vision, Machine Learning, Artificial Intelligence, Computer Science, or Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation (e.g. physics, aerospace engineering.
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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure)Ability to interact at all levels of the client organization, build consensus and foster changeAbility to work independently, manage small engagements or parts of larger engagementsExperience with pre-sales, proposals and RFP activitiesSuperior critical thinking, analytical and problem-solving skillsWillingness to mentor and counsel junior staff.
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At least 2 years of experience in machine learning engineering or related roles. Collaborate closely with other engineering guilds to integrate machine learning components into larger software systems and develop end-to-end solutions.
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Two years of education in Environmental Science, Environmental Engineering, Environmental Studies, Environmental Science (botany, wildlife, water resources, geology, biology), Community/Urban Planning, Environmental Policy, or a closely related field.
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The successful candidate has a scientific background in operations research, engineering or other STEM field and has expertise in one or more of the following areas: data science, data analytics, data engineering, data visualization, supply chain planning, statistics, machine learning, predictive modeling, decision analysis under uncertainty, artificial intelligence, Python and/or R, app development, and Tableau dashboard development.
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Master's degree in Electrical Engineering, Computer Engineering, or related fields with courses work in Digital Signal Processing, Image Processing, Computer Vision, Data Structures, Pattern Recognition, Machine Learning.
$126,984 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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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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machine learning engineering intern jobs Title: intern Company: Dcs
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