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As a Machine Learning Engineer on the Banking & SFS team, you will support fellow Data Scientists and Modelers in building and deploying machine learning models that support our banking and lending business.
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The Senior Principal Engineer- Site Reliability Engineering supporting Artificial Intelligence/Machine Learning/High Performance Compute Solutions, Service Delivery will be responsible for providing the primary management, administration, support, and ongoing maintenance of customer Platforms within a 24x7x365 datacenter environment.
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3+ years’ experience as a software engineer, Machine Learning engineer, or DevOps engineer (Python preferred) 5+ years’ experience as a software engineer, Machine Learning engineer, or DevOps engineer.
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The RoleAs a Senior/Staff Machine Learning Engineer you are someone who has significant expertise in modeling, statistics and programming. A PhD degree in Machine Learning or Deep Learning is a massive plus.
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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.
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As a Machine Operator (SDS Operator Trainee) with Tradebe, you will assist with the operations of the Solids Distillation System (SDS) and the operations of the Distillation Column during a one year training and learning period.
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CRA has an exciting opportunity for an enthusiastic senior scientist with expertise in maritime operations, data collection/analysis, uncrewed vehicles, sensing, perception, autonomy, simulation, machine learning, and/or computer vision to lead cutting-edge intelligent systems research and development applied to real-world challenges.
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Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow. Masters Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science.
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BIOVIA is looking for a motivated Machine Learning Engineer – Drug Discovery to join our Discovery Studio team in San Diego, CA, or Waltham, MA in an onsite/hybrid role. This role focuses on the development of Machine Learning and Artificial Intelligence techniques for BIOVIA’s life sciences modeling and simulation applications.
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Research experience (publications) in the following areas is preferred machine learning, deep learning, NLP, computer vision, data mining, causal inference, information retrieval, game theory.
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Minimum of 3 years of hands-on data analysis experience in full-time professional, data-heavy, and machine learning focused role. Experience developing and deploying machine learning and statistical models.
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Apply your advanced understanding of machine learning principles, including advanced analytics tools, applied mathematics, ML and Deep Learning frameworks and libraries, and ML techniques to design, build and support machine learning to achieve high quality generative AI user experiences.
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Employ advanced AI and machine learning models, including deep learning and predictive analytics, to identify novel materials and predict their performance within battery systems.
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As a machine learning engineer, you will play a pivotal role in constructing essential infrastructure for the open financial system. 5+yrs of industry experience as a machine learning and software engineer.
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Hands on experience working in an infrastructure managed services environment, supporting complex engineered solution in production with Artificial Intelligence/Machine Learning/High Performance Compute Systems and Platforms, Converged/ Hyper-Converged infrastructure along with fluency in AI/ML pipelines, Nvidia GPU optimization, InfiniBand networking, Machine Learning operating systems such as cnvrg.io, Compute Orchestration Platform such as runai etc.
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machine learning jobs Title: electrical engineer Company: Amazon
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