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Master's Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow.
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Strong understanding of machine learning algorithms, techniques, and frameworks, including deep learning, neural networks, and ensemble methods. Experience with building and training machine learning models using tools like TensorFlow, Keras, or PyTorch.
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The machine learning engineer will be responsible for data from the electronic data repository, including EEG, video, and peripheral blood biomarkers. The machine learning engineer will work and mentor a team of researchers in searching for patterns hidden in large data sets for research in neurology.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$132,000 - $264,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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You have a Masters or PhD in Data Science, Machine Learning, Applied Statistics, Bioinformatics, Computational Biology, Computer Science, Physics or closely related disciplines. The Machine Learning Engineer will work closely with the CTO to build the core data platform at the heart of the company’s drug discovery engine.
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Understanding of containerization technologies like Docker for packaging machine learning models and deploying them in production. Ability to design and implement end-to-end machine learning pipelines for data ingestion, processing, modeling, and deployment.
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4+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role. We are searching for a Computer Vision/Machine Learning Engineer to join our collaborative group that includes a mix of big data, API, and full stack development teams.
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Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Primary Location.
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Alternative education and experience required: Bachelor's degree in Data Science, Machine Learning, Software Engineering, Statistics, Operations Research, or related field and 8 years of progressive, post-baccalaureate experience as Data Analyst or Scientist, Machine Learning Engineer, Statistician, Business Analyst, or related role.
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Knowledge of data preprocessing, feature engineering, and model evaluation techniques in machine learning projects. Bachelor’s Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
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Apply knowledge of statistics and mathematical theory to develop and integrate new and emerging technologies, such as machine learning and deep learning concepts and techniques.
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Help craft the direction of machine learning and artificial intelligence at AmEx Qualifications: Master’s degree in computer science, Computer Engineering, EE, EEE,Statistics, Math, Industrial Engineering, Operational Research, Physics,Financial Engineering, or related STEM fields.
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BlackSky is looking for a talented and creative Senior Machine Learning Engineer to support the development, operation, and capability evolution of Spectra AI, BlackSky's cutting edge AI/ML Platform.
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PhD degree or equivalent in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, Statistics or a related field; coursework or academic research to include image identification or artificial intelligence.
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Bachelor's degree in a quantitative discipline: statistics, applied mathematics, computer science, data mining, machine learning, or some other empirical science; in lieu of a Bachelor's degree, candidates with 9+ years of equivalent experience will be considered.
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