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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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Bachelor’s or Graduate degree, Field of Studies required: In a quantitative field or commensurate experience such as Statistics, Business Analytics, Data Science, Applied Math, Econometrics or Operations Research.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Data Analyst/AI/Machine learning Positions.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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The ideal candidate will play a key role in designing, developing, and maintaining scalable data pipelines and analytics solutions to support our growing business needs. Proficiency in Databricks, Azure services (e.g., Azure Data Lake Storage, Azure Synapse Analytics), and Spark for big data processing and analytics.
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Responsibilities: · Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.
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Understanding of Master data management, data visualization and story building, data science and machine learning is highly preferred. WHAT YOU WILL CONTRIBUTEThe Data and Analytics Director is accountable for the strategic governance and management of the North America Data and Analytics team.
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The Generative AI Architect, you will apply expertise in data science, specifically in artificial intelligence, machine learning, and software architecture to address sophisticated business challenges.
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The AI/ML Engineer develops technical solutions at the leading edge of Artificial Intelligence, Machine Learning, Genetic Programming, Computer Vision, and advanced data processing, filtering, and fusion techniques in high-performance computing and distributed heterogeneous computing environments.
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Our team develops, implements, and maintains recommendation and personalization algorithms for Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.
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5+ years experience in AMAMR-related areas of machine computational/environmental perception including expertise with one or more SLAM algorithms, collision detection, computer vision, machine learning, and ground robotic software (ROS.
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State government/public sector experience on IT Projects in health and human services programs (such as Medicaid, MMIS, claims processing, eligibility, HHS analytics, data warehouse, etc.
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Function as the MSA and Fintech conduit with VCA North America (Segment Leaders, Practices, Solutions, and Data Science) and teams outside of VCA (Account Executives, Product Teams) to drive integration across the solution lifecycle (planning, requirements, design, testing, commercialization, and rollout.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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Analyze key performance indicators and interpret historical data systems' performance to identify, recommend, and implement design changes and modifications that reduce life-cycle costs, improve machine productivity, and/or enhance safety of personnel or the environment.
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machine learning predictive analytics data science jobs Title: business analyst in Atlanta, WI, France
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