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Master's or Ph. D. preferred in STEM field, high proficiency in Artificial Intelligence, machine learning. 5+ years of previous experience traditional ML and deep learning techniques, AI integration strategy, and deployment tools and environments.
$203,000 - $339,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Perform general maintenance and/or repair work on appliances (washer, dryer, hot water tanks, ice machine, stove, refrigerator, etc.) Trainee engineers are expected to use and follow all of CTC’s safety policies and procedures and to have all current training in the Learning Management System (LMS) assigned to them completed by their due date.
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As a Senior Research Scientist with Upstart, you'll enjoy a fast-paced environment with a focus on productionalizing, deploying and training machine learning models. Full-stack expertise with all steps of the modeling process from ideation to productionalizing code; OR deep expertise in either statistical modeling or machine learning.
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Apply advanced principles, theories, and concepts in the realm of Artificial Intelligence (AI), Machine Learning (ML), Large Language Models (LLMs), Deep Learning (DL), Generative AI, Transfer Learning, and Reinforcement Learning algorithms to cyber data sets.
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Develop basic statistical models and machine learning components under the guidance of senior data scientist. Ability to learn independently from open-source resources and apply that learning to MOFC-specific use cases.
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The successful candidate will have expertise in multi-modal data integration (i.e. electrocorticography, fMRI, psychophysics), biomarkers of cognition and disease phenotypes, dynamical systems, and machine learning/artificial intelligence.
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TITLE : Machine Learning Engineer. Machine Learning Engineer. MUST HAVE experience in deploying machine learning models into production and debugging. TITLE : Machine Learning Engineer.
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Work closely with subject matter experts and colleagues to build and scale out machine learning and AI solutions that will detect, predict, and recommend solutions to correct issues before system impact and enhance the efficiency, reliability, and performance of CVS Health’s IT operations.
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Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience with building APIs - RESTful APIs, Web Services, Spring Boot, with strong understanding of Microservices architecture.
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Experience with machine learning techniques (regression, decision trees, random forests, support vector machines, neural networks, K-means, Naive Bayes, etc. Own machine-learning model development cycle (identification and definition of business questions, data preparation and manipulation, model implementation and optimization, and deployment.
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Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing.
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Experience in computational pathology and clinical informatics, machine learning, and artificial intelligence as applied to digital pathology research and practice. Position Summary and Overview The Medical Director, Global Pathology Solutions will serve key roles in a growing Medical and Scientific Affairs function that provides leadership on medical, scientific, and clinical decisions related to the overall Leica Biosystems business strategy.
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Proven knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Hands-on development experience and in-depth knowledge of Java/Python, Microservices, Containers/Kubernetes, Spark, and SQL.
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Developing and applying statistical or machine learning methods in a corporate environment through applications such as R, Python, or SAS. You will be joining a team of analytics and data science professionals within the Enterprise Data & Analytics COE. Team members are skilled data scientists highly fluent in a mixture of R, Python, SAS, SQL, Tableau, and Adobe Analytics/Target to perform modeling, visualization, and advanced analytics.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Partner with 1P Studio Production and Operations and across our 2P and 3P Ecosystem verticals to create a cohesive content slate operating plan that creates meaningful visibility at key moments in development while still giving teams autonomy to operate given the nuances of individual projects/deal structures.
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