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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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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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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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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 5 days ago - UpvoteDownvoteShare Job
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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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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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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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Cleans kitchen equipment such as, carts, tables, counters, ice machine, buckets, blender, mixer, meat slicer, freezer, refrigerator, stove, steamer, garbage disposal, dish machine coffee/ tea maker, steam table etc.
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8+ years of experience in data engineering, machine learning, and cloud tech developing production grade software components and solutions. Design, develop, and implement AI-based applications using Azure technologies, including Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services.
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Hire and build a team of specialized skills such as Machine Learning, Computer Vision, MLOps and UI/UX. This role will focus on a multi-year companywide initiative called “Plant of the Future” (POTF); leading and advancing the POTF initiative by leveraging various Industry 4.0 / factory of the future technologies on the manufacturing floor, including (but not limited to) Machine Learning Operations, Computer Vision, and Advanced Predictive Maintenance.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Proficiency in operating application stack environments such as Hyperion, Agile, Oracle Fusion, Oracle EBS, UiPath, or Vertex.
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Operates and maintains equipment, machinery and tools related to construction and maintenance projects which may include an aerial bucket truck, backhoe, arc welder, jackhammer, drill press, hammer drill, pipe threader machine, shovel, catch basin spoon, level, water/waste pump, water key, ladder, scaffolding, etc.
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Experience in machine learning, big data analytics, data science, and cloud computing is a plus. Qualified candidates need to be passionate about the Machine Learning and Artificial Intelligence space, will excel in problem-solving and combine an advanced business or technical degree with consulting or product management experience and have a record of successful delivery of complex, multi-faceted projects.
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Your contributions will be instrumental in shaping cutting-edge architectures, frameworks, and methodologies, pushing the boundaries of natural language processing (NLP) and machine learning.
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In HBM DEG (High Bandwidth Memory - DRAM Engineering Group), we innovate and integrate end-to-end groundbreaking front-end and backend processes with groundbreaking design, debugging various tests, and qualification techniques to develop the lowest power per bit solutions to improve customer experience in the field of ML (Machine Learning) and AI (Artificial Intelligence.
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machine learning jobs Title: intern Company: Target Stores in Atlanta, GA
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