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GCS Prescient Design is seeking an exceptional Senior Machine Learning Engineer to develop our LLM and AI product and enable the next generation of foundational research in machine learning for scientific discovery.
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By joining us as a Principal Machine Learning Engineer, Infrastructure (LLM), you will work on state-of-the-art systems, contribute to cutting-edge research, develop innovative algorithms, and play an essential part in Prescient Design's success.
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Experience with machine shop tools and prototyping equipment (CNC machines, milling machines, drill presses, chop saws, laser cutters, etc.) Strong proficiency in 3D CAD software, such as Onshape, SolidWorks, Creo, etc.
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Our client an innovative leader in legal education programs and services, is searching for a technology professional to fill the role of Software Engineer. Work with DevOps to ensure the continuous delivery of software via the CI/CD process.
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6+ years experience as a Machine Learning engineer with working knowledge of Python and experience with deep learning frameworks such as Pytorch, TensorFlow, JAX or MXNet. We are looking for a Staff Machine Learning Engineer to help us develop and grow new Generative AI driven products and tools.
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Lead and oversee the design and execution of advanced data science projects, including predictive modeling, machine learning, deep learning, and statistical analysis. Demonstrated experience in building and deploying predictive models using deep learning and machine learning algorithms.
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Knowledge of advanced control systems topics including data management, artificial intelligence, machine learning, cybersecurity, network architecture. Knowledge of automation software including but not limited to Wonderware, iFix, FacotryTalk, VTScada, Ignition.
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Evaluate and implement technologies incorporating machine learning, artificial intelligence, and music recognition technologies to further SME's content protection strategies. Knowledgeable about machine learning, artificial intelligence, and music recognition technologies.
$75,000 - $83,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You'll be supported by some of the most sophisticated technology in the profession, including proprietary computer systems and software, advanced photography, reality capture, and image processing, artificial intelligence, digital asset management, and state-of-the-art, non-destructive diagnostic equipment and techniques.
$100,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Machine Learning Engineer. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer.
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Ariq, expert at low-level firmware and software programming; previously a senior engineer at Arista Networks, where he served as lead maintainer on multiple linux kernel networking drivers for Arista EOS devices.
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As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. Lead Machine Learning Engineer (Intelligent Foundations and Experiences.
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Machine Learning Scientist – Quant AI - Vice PresidentThe Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.
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As a Senior Software Engineer, you will: Use Agile Scrum SDLC methodologies in the full life cycle software development process including requirements analysis, software design, prototyping, programming, debugging, and testing of system software production applications.
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machine learning software engineer image processing jobs Company: Services Llc in New York, NY
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