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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.
$338,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in timely manner to automatically tackle the issues or provide recommendations for the next step of solving problem.
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We are a multidisciplinary algorithmic trading team with expertise in machine learning, numerical optimization, software engineering, distributed systems, electricity markets, and trading.
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Preferred Qualifications: 2+ years of experience as a developer, data scientist or machine learning engineer in addition to 2+ years of experience in a TPM role Prior development or management experience on a Machine Learning Platform in a large tech company Hands-on experience with cloud technologies and service oriented architectures Track record of using data analytics for improving SW operations and organizational efficiency Advanced degree in an analytical field.
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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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They will develop and train machine learning models and perform experiments and analysis using open-satellite data sets leveraging experimental and commercial quantum computing devices and simulators.
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Expertise in data strategy, data architecture, data engineering, advanced analytics, data science, data mining, and machine learning. Lead large transformations for former employers and has evolved & matured current Master Data Management, Data Governance, Data Architecture, Data Quality, Enterprise Data Management, and Data Design practices.
$299,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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You will learn practical modeling skills, as well as software skills to be a successful machine learning engineer. You will identify an applied machine learning problem in the enterprise search and question answering ecosystem.
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Solid understanding of HIPAA compliance and its implications for data processing and machine learning in healthcare is a plus. Foster a culture of innovation, continuous learning, and adherence to best practices in machine learning and data security.
$225,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Minimum of 5 years experience as a Technical Program Manager, Product Manager, or Engineering Manager, or Engineer in an autonomous systems, robotics, data science, machine learning, computer vision, or software development environment.
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This role will contribute to the development and application of Arc’s frontier DNA foundation model (Evo), Arc’s Virtual Cell Initiative focusing on developing cell biological models capable of predicting the impact of perturbations and stimuli, and other projects in the context of Institute-wide machine learning efforts.
$234,550 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Publications or patents in relevant fields of machine learning and autonomous driving. As a Machine Learning Engineer, you will be responsible for creating and preparing datasets, training and evaluating models, and optimizing algorithms for real-time performance.
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Develop and redesign Machine Learning (ML) models and data pipelines to enable ML productionization for Google first party products and services. 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning or natural language processing.
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Knowledgeable in programming languages (e.g. Python, R) for advanced data analysis, statistical modeling, and machine learning tasks. Solid understanding of data governance frameworks, data privacy regulations (GDPR, CCPA), and data security best practices.
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QUALIFICATIONS: Minimum education and experience required: Master's degree in Electrical Engineering, Computer Science, Physics, Mathematics, or related quantitative field of study plus 5 years of experience in the job offered or as Predictive Science, Applied AI ML Lead, AI Engineering, Machine Learning Engineer, Project Engineer, Data Scientist, or related occupation.
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data governance machine learning jobs Company: Wex in Stanford, CA
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