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As a member of the Data Engineering team, the Machine Learning Engineer will work closely with business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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We’re looking for a Machine Learning Engineer who will build out and design machine learning infrastructure for a team of data & remote sensing scientists, working collaboratively with the Analytics and Software teams to deliver data-driven products and solutions.
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Machine Learning Engineering - Dallas, TX (Hybrid) Optimize machine learning algorithms and infrastructure for performance, scalability, and cost-efficiency. Deploy machine learning models into production environments, ensuring scalability, reliability, and real-time performance.
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You will work with a team of machine learning researchers to build AI software systems, learn about deep learning algorithms, and use your technical skills to advance autonomous driving.
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The Generative Unconstrained Intelligent Drug Engineering (GUIDE) project has an opening for a Senior bioengineer who is responsible for the efficient, smooth, and effective management of a team and simulation- and machine-learning-driven computational pipeline to redesign antibodies.
$191,220 - $245,544 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In this role, you will collaborate with researchers to develop machine learning methods for computational biology and drive the implementation and testing of novel research ideas using cutting-edge deep learning techniques.
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What you’ll bring to Circle: 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Work collaboratively with data scientists, machine learning engineers, and DSP engineers to create, execute, and execute test plans, both in simulation and as implemented on embedded products, to identify areas of improvement and validate expected functionality of video and audio signal processing, machine learning, and artificial intelligence.
$150Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Collaborate with data scientists and engineers to design, build, and maintain Azure-based MLOps pipelines for automating machine learning model deployment, monitoring, and maintenance. Implement Azure-based deployment pipelines for deploying machine learning models into production environments.
$135,000 - $140,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Create and implement solutions with respect to complex problems/scientific questions on large scale data sets, especially using machine learning approaches, predictive models, and statistical analysis, especially in the area of genomics, proteomics, and imaging.
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We are seeking a highly motivated Machine Learning Engineer Co-Op from July 2024 to December 2024, focusing on Natural Language Processing (NLP) and Computer Vision applications. As a Machine Learning Engineer Co-Op, you will work closely with cross-functional teams, including Data Science, Software Engineering, and Product Management, to develop machine learning models, implement solutions, and ensure the successful deployment and maintenance of these models in production.
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The FBA team is looking for a passionate, curious, and creative Principal Research Scientist with expertise in operations research, machine learning or statistics, along with a proven record of solving business problems through scalable modeling and analytical skills.
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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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Should have a strong background in at least two of the following areas: Algorithm Development, Machine Learning/AI and Data Analysis, Mathematical Modeling and Simulation, Digital Signal Processing, Control Algorithms Design.
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As a Machine Learning Engineer, you'll be responsible for designing, developing, and managing the platform and framework that facilitates automated, data-driven decision-making. Understanding of statistical, machine learning and deep learning algorithms.
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machine learning jobs Company: Maxim Healthcare Services in Beltsville, District Of Columbia
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