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Qventus is on a mission to take modern technologies and principles that have been proven in other industries — artificial intelligence, machine learning, behavioral science, and data science — and apply them to simplify healthcare operations.
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We are seeking a highly skilled and experienced Principal Machine Learning and Data Science Engineer to join our dynamic and passionate team. Utilize Google Cloud Platform (GCP) services and tools for data storage, processing, and machine learning model deployment, leveraging Google Cloud AI/ML services, BigQuery, Dataflow, and other GCP services to build scalable and efficient data science solutions.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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MULTIPLE POSITIONS] Avanade Inc. is seeking Senior Consultant, Data Engineer with a strong knowledge of machine learning and artificial intelligence to deliver analytics and business intelligence solutions to our clients.
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You’ll have the opportunity to work alongside other talented engineers, CTO, and data scientists on cutting-edge big data, search, machine learning and analytics problems. Job title: Data Platform Engineer.
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Solve all problems related to scaling the data warehouse ranging from analytical to machine learning use cases. Senior Machine Learning Engineer Cambridge, United Kingdom.
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RELATED JOB OPENINGS: Senior Software Engineer - Data Engineering Machine Learning Engineer / Data Scientist Software Engineer - Data Engineering Analytics Engineer.
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Experience developing and delivering technology in at least two of the following areas: data analytics, machine learning, data visualization, geospatial analysis, web services, or database development.
$96,000 - $144,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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An advanced degree in computer science, data science, machine learning, artificial intelligence, operations research, engineering, or related quantitative discipline. Equilibrium is composed of deeply knowledgeable industry experts across all our functions, with decades of experience in energy-specific commercial structuring, power systems engineering, machine learning, computational research, operations research, distributed and compute-intensive infrastructure, and modern software & ML engineering.
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We build full-stack applications, tooling, and frameworks to improve the productivity of teams at Discord with strong data needs, in particular our product, analytics, and machine learning teams.
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FM Global is seeking a Machine Learning Operations Data Engineer II to join our AI/ML team to support Machine Learning Engineering, working very closely with Data Science, Data Engineering, Subject Matter Experts and Solution Architecture teams.
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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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Self-driven, challenge-loving, detail oriented, teamwork spirit, excellent communication skills, ability to multitask and manage expectationsNice to have:Experience in any of: machine learning, analytics, data mining, or data mart and warehouseExperience with Deep Learning platforms (Tensorflow/Keras/Spark MLlib) and SQL/Unix/ShellExperience with machine learning algorithms, NLP, and/or statistical methods a big plusYahoo is proud to be an equal opportunity workplace.
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The Data Infrastructure team is looking to hire a Software Engineer who is excited to work with production facing data tools, and support a growing business model for Reddit. Software automation that connects our data services and surfaces metadata to downstream customers for discovery and data contract enforcement.
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Minimum of 5 years of technical experience and 3 years of experience specifically in data science and machine learning. Collaborate with cross-functional teams including data scientists and product managers to align machine learning solutions with business objectives.
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machine learning data jobs Title: data engineer
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