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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc) Deep understanding and experience with advanced analytics, Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) or Computer Vision (at least 3 of these areas.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Minimum Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or a related fieldAt least 3 years of experience as a Data Scientist, with a focus on developing and deploying machine learning models in production environmentsStrong programming skills in at least one language (Python, SQL, Spark, C.
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For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. Sales Territory or Remote (Regardless of Location): $170,700 - $194,800 for Lead Machine Learning Engineer.
$201,400 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. js, Vue.js, Angular, etc.
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Click Therapeutics continuously expands and refines its platform with novel cognitive, behavioral and neuromodulatory mechanisms of action and advanced data-driven tools such as artificial intelligence and machine learning.
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This Machine Learning Engineer role might be for you. You will work with cross-functional teams to develop and deploy machine learning models, solving complex problems and generating actionable insights.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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A Ph. D. in Applied Mathematics, Machine Learning, Computational Biology or Computer Science with emphasis on applications in molecular biology and/or computational pathology (required.
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The Data & Analytics department in Legal and Compliance is responsible for designing and optimizing surveillance models, approaches and tools using advanced analytical techniques like supervised and unsupervised machine learning, Natural Language Processing (NLP) and evolving techniques like reinforcement and deep learning as well as graph analytics.
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We are seeking computational postdoctoral researchers with a strong background in machine learning and an interest in developing and applying quantitative methods to problems in translational cancer biology and cancer data science.
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We are broadly interested in leveraging computational optics, optical system design, and machine learning/AI to improve optical microscopy, sensing, and information processing. Location of thousands of multinational businesses — including one-third of all Fortune 500 companies — in a variety of industries such as pharmaceutical, computer, electronics, manufacturing, biotechnology/medicine, design, automotive, and communications.
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Keep up with the latest advancements in machine learning and computational biology, introducing innovative approaches to the team and the scientific community. PhD in Computer Science, Machine Learning, or a closely related discipline.
$400,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Object oriented Python programming and solid experience with machine learning libraries - Pandas, NumPy, Scikit-learn, TensorFlow, etc. 6+ Years of Data Engineering (DB2, Snowflake, Oracle, MongoDB, Redshift, PostgreSQL.
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To build a world-class research program for AI- and data-driven innovation in human health, the AI Department is seeking five (5) outstanding candidates for early-career faculty positions at Instructor level with an excellent track record in artificial intelligence, and machine learning to join its faculty as a Eric and Wendy Schmidt AI in Human Health Fellow in 2024.
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Key technical areas include Hyperspectral and Multispectral Image Processing, Machine Learning, System & Component Analysis, Optical Imaging and Tagging, Computer Vision and Hardware Signal Processing.
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machine learning one jobs Company: Tech Consulting in New York, Columbia, Missouri
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