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The premier gaming destination in the United States, FanDuel consists of a portfolio of leading brands across gaming, sports betting, daily fantasy sports, advance-deposit wagering, and TV/media.
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As a Google Vertex Full Stack Software Engineer, you will be responsible for developing and implementing machine learning models using Google Vertex AI and developing consumable API microservices using Typescript, Node.js, Express.
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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 - $247,500Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Databricks Certifications (ie: Data Engineer Associate; Data Engineer Professional, Machine Learning Associate, Machine Learning Professional) Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. The role of VP Data Modeling is to develop, implement and maintain physical data models for domains with respect to financial services, in support of Aladdin Data strategy.
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Duties include: Provide training and support for the Moodle Learning Management System, Panopto Lecture Capture System, SMART Boards/Podiums, and other instructional technologies that support teaching and learning in on-ground, hybrid, and distance learning courses.
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Has demonstrated proficiency in one or more sub-disciplines of data science, like causal inference, forecasting, simulation, optimization, machine learning, or deep learning, geospatial.
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Our client provides a full range of services including web portal providing information on the state, business and economic development, public safety, Learning, law, justice, health, education, Corrections, transportation, IT, Social Services and culture.
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The Avionics Technician will be responsible for learning and executing electronic assembly processes necessary to manufacture a quality product in a timely manner, as well as assisting electrical engineering team with various day to day activities.
$51,000 - $76,500 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Under the general direction of the Camp Program Director, the Academic Learning Specialist is responsible for leading and providing individual or small group academic support during Camp Program.
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Continuously learning regarding FASB and SEC updates by both self-study options and conference attendance (Workiva Amplify conference, AICPA’s PCAOB and SEC conference) Learning the Sr. Director- SEC Reporting’s position as back up.
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As a Subject Matter Expert (SME) in selected training content areas, you will collaborate closely with the Learning & Development Instructor and Innovation & Instructional Design teams, frontline stations, and cross-departmentally to deliver industry-leading training.
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Quality and Patient Safety: Develop quality plan for Division (in alignment with the system QPS strategy), review and finalize key quality and outcome metrics, prioritize and participate in clinical practice guidelines/process improvement efforts/RCAs, monitor quality, and lead continuous quality improvement and learning.
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A deep understanding of statistical and predictive modeling concepts, including machine-learning or data mining approaches. Master’s degree with a very strong academic background in statistics (e.g. mathematics, statistics, computer science, data mining, machine learning, operations research, physics or a related quantitative discipline.
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You have demonstrable experience applying Machine Learning, including both Deep Learning (PyTorch) and Classical ML (Scikit-Learn) This means that we want to continuously improve our method of doing Data Science / Machine Learning, and our knowledge of trends and techniques relevant to our areas.
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learning job in Atlanta, GA
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