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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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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. Implement Azure-based deployment pipelines for deploying machine learning models into production environments.
$135,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with one or two of the following: MLOps, Deep Learning methods, NLP, computer vision, sentiment analysis, topic modeling and graph theory and databases. Optimize machine learning algorithms and infrastructure for performance, scalability, and cost-efficiency.
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Gluon open-source deep learning library ( might consider some alternatives like Apache MXNet, or experience with PyTorch - TensorFlow - CNTK - Theano - Keras - Caffe2 ) Machine Learning Engineer.
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Minimum of 2 years' experience related to new technology (Digital Thread / Twin, Robotic Process Automation, IoT, Machine Learning, Artificial Intelligence, Blockchain, etc.) Digital Factory Strategy - Industry 4.0, IoT platform, artificial intelligence, machine learning, prescriptive maintenance, connected devices, connected workers, blockchain, etc.
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Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities. More than 18,800 organizations, including JetBlue, Nordstrom, Slack, T-Mobile, Takeda, Teach for America, and Twilio, trust Okta to help protect the identities of their workforces and customers.
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
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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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We offer a comprehensive package including Remote/Hybrid workplace options, Health Benefits, Unlimited Flexible Time Off, Family Planning Services, Tuition Reimbursement, Paid Family Leave, 401(k) Matching, Pet Insurance, LinkedIn Learning, Virtual Social Experiences, Career Pathing, Focus Time Fridays and much, much more.
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VLI has a multiple year contract with the USAF and is looking for employees willing to build a career by learning our specialized industry and products. Positions are available in the following disciplines: Electrician, Ironworker, Sheetmetal Worker, Welder (Structural), Carpenter/Millwright, Painter and Laborer (entry level.
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Familiar with deep learning platforms (e.g., Keras, Tensorflow) and related classification and segmentation algorithms. Applicants must have strong analytical, remote sensing and GIS skills and an exceptionally strong understanding of machine learning algorithms.
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R/Python/Spark, Deep Learning techniques or other advanced analytics tools. The Performance Insights team is responsible for guiding cross-functional teams and own all aspects of delivering Artificial Intelligence/Machine Learning (AI/ML) solutions end to end, including but not limited to: solution design, solution development life-cycle, solution implementation, and demonstration of business value.
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Builds and maintains hi-fidelity simulation models, and/or statistical and machine-learning models to evaluate, prescribe and promote operational efficiencies within the airport, airspace, and ATC environments.
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We optimize our clients' experience using unique proprietary technology coupled with robotic process automation, intuitive digital programs powered by machine learning, and enhanced by an extensive proprietary transaction data set.
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We are currently looking for a General Counsel for Spinnaker Insurance Company with a strong insurance background in Property & Casualty program insurance; regulatory and compliance; reinsurance contracts including quota share and catastrophe; oversight of corporate and claims litigation; and ability to manage and audit key controls.
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learning job Company: Edward Jones in Dallas, TX
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