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RCNN, Neural Network, Darknet, Pytorch, Tensorflow, QT, Python, CNN, Artificial Intelligence, machine learningAdditional Skills & Qualifications:Design and develop real time AI – Neural Network solutions for railway maintenance equipment.
$110,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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The Cheminformatics team within Bristol Myers Squibb is seeking an exceptional scientific leader interested in artificial intelligence and machine learning for molecular design.
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What You'll Be DoingAs an Artificial Intelligence Solutions Delivery Engineer, you will:Lead Technical Products and Delivery: Lead multiple technical product teams across multiple disciplines such as software development, machine learning, data science, data engineering, cloud architecture, etc.
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Collaborate with data scientists and engineers to design, build, and maintain Azure-based MLOps pipelines for automating machine learning model deployment, monitoring, and maintenance.
$135,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a member of the Data Engineering team, the Machine Learning Engineer will work closely with business domain experts and data scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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At Technergetics, we work with a wide variety of technologies, including mobile and web apps, Quantum computing, machine learning and artificial intelligence, AI-enabled edge devices, and many more.
$65,000 - $80,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Embed machine learning, artificial intelligence and GenAI capabilities into the cloud applications and solutions to enable predictive analytics, data mining, and pattern recognition for driving productivity and efficiency in solutions delivered.
$150ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Job Description Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities.
$150ExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Hands on experience working with Cloud technologies, Infrastructure, Network Security, and/or modern deployment technologies and products including by not limited to CI/CD pipelines, Open-Source software, Artificial Intelligence and/or Machine Learning preferred.
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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.
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You will lead a team of researchers creating data-driven algorithms for ATG. The initiatives will include both short-term and long-term research in areas such as artificial intelligence, machine learning & data mining, natural language processing, big data systems, information and data visualization, and social & cognitive science.
$199,300 - $247,500ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Evaluate and implement technologies incorporating machine learning, artificial intelligence, and music recognition technologies to further SME's content protection strategies.
$75,000 - $83,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Process Automation and Digitization: Lead the standardization of process automation solutions leveraging advanced technologies such as robotic process automation (RPA), artificial intelligence (AI), and machine learning (ML.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments.
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Familiarity with the applications of Artificial Intelligence or Autonomous Systems technologies (e.g., Reinforcement Learning, Deep Learning, Machine Learning) to sensing, perception, multi-unit planning, or command and control of autonomous systems.
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