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BlackSky is looking for a talented and creative Machine Learning Engineer to support the development, operation, and capability evolution of Spectra AI, BlackSky's cutting edge AI/ML Platform.
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ResponsibilitiesCollaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, architect machine learning solutions.
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The role requires proficiency in patent prosecution, with a preference for expertise in electrical engineering, software-related technologies, data science/AI, networking technologies (especially network security), machine learning/artificial intelligence, and hardware security.
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Research Scientist III - Statistical Machine Learning, Computational Biology, and Genomics. Thus, experience in any of the following areas is of interest: Genetics, Statistical Genetics, NGS data analysis, Bioinformatics, Machine Learning, Probabilistic Modeling, Statistics, Computer Science, and Optimization.
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The MetaSearch Team is looking for a passionate Machine Learning Engineer III to join our team. Machine Learning Engineer III. Work in a cross-functional team of Data and Machine Learning engineers to design and code large-scale batch and real-time data pipelines in AWS.
$137,500 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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This role is part of our Cash App's ML team and will be deeply embedded within one of our product teams - here are the workstreams we're currently hiring for:HealthYou'll build machine learning models that detect fraudulent activity in real time and help keep our customers safe and secure.
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Utilize Databricks for big data processing, analytics, and machine learning workflows. At Blueprint, you'll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions.
$146,400 - $175,100 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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An advanced degree (Undergrad, M.S. or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Data Science or related field or 10 + years of proven experience crafting optimization and machine learning solutions for large scale applications.
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A leading FinTech focusing on Embedded finance solutions is looking for a Machine Learning Specialist who can address issues like credit card fraud, money laundering, identity theft. 🏢 Role: Machine Learning Data Engineer Specialist (Open to all levels.
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Utilize Infrastructure as Code (IaC) tools, such as Terraform or AWS CloudFormation, to automate the provisioning and management of cloud resources for machine learning. Design, develop, and implement machine learning models for various applications, including but not limited to predictive analytics, natural language processing, and computer vision.
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The FBA team is looking for a passionate, curious, and creative Principal Research Scientist with expertise in operations research, machine learning or statistics, along with a proven record of solving business problems through scalable modeling and analytical skills.
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Architect data analytics solutions on Azure using services like Synapse Analytics, Databricks and Machine Learning etc. Implement data processing pipelines using Azure Data Factory, Databricks, Azure Machine Learning, Azure Logic Apps, Azure Function Apps, Azure Kubernetes container and other big data services.
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Degree in a quantitative discipline such as Predictive Analytics, Statistics, Mathematics, or Computer Science with coursework in Machine Learning, Deep Learning, and Natural Language Processing; Masters/PhD preferred.
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Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, architect machine learning solutions.
$200,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Proficiency in Python/R for data manipulation, statistical analysis, and machine learning. Solid understanding of machine learning techniques such as regression, classification, clustering, and time series forecasting.
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machine learning jobs Title: learning architect Company: Inc in Seattle, WA
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