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Come join our Machine Learning Implementation Engineering team of creative technical experts who collaborate with customers to ensure their success with OfferFit! OfferFit was founded by ex-McKinsey and BCG math PhDs, and we're funded by leading Silicon Valley VCs. OfferFit replaces A/B testing with AI testing, powered by reinforcement learning AI. This allows lifecycle marketers to test & improve the performance of their campaigns much faster than before.
$165,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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The Hartford is seeking a Senior Machine learning Engineer within Actuarial to design, develop, and implement modern and sustainable MLOps framework to fuel machine learning and artificial intelligence solutions across a wide range of strategic initiatives.
$170,040 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced knowledge of Apache Spark, Azure Data Factory, Azure DevOps, Azure Machine Learning, Hadoop, Hive (Apache), Informatica, Microsoft Azure, Databricks, Microsoft Power BI, Microsoft SharePoint, Microsoft SQL Server, MS Office Products or Operational Data Integration (OLTP.
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The Behaviors Teams at Cruise are responsible for developing machine learning models to enable our AV to drive smoothly and safely around an urban environment. PhD in machine learning or computer science.
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The Lead Machine Learning Engineer will help craft the strategic vision for the application of cutting-edge AI methodologies at Exact Sciences and work as a partner with biostatisticians, bioinformatics scientists, and data scientists to further our goal of helping eradicate cancer by preventing it, detecting it earlier, and guiding personalized treatment.
$228,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Databricks Machine Learning Associate or Machine Learning Professional Certification. Understanding of advanced machine learning techniques, including graph-based processing, computer vision, natural language processing, and simulation modeling.
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Waters Global Research is looking for an energetic and creative machine learning engineer to join the team and help bring technologies in analytical instrumentation to the forefront of the industry.
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A Private Sector client of ours is looking for Machine Learning Ops Architect to work on their ongoing project in Detroit, MI office. Extensive background in machine learning, distributed systems design, statistics, or quantitative analysis.
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Responsibilities:- Carry out interdisciplinary research in quantum computational chemistry (such as Post Hartree-Fock method, quantum embedding method) and machine learning(such as Neural Network QMC);- Perform theoretical analysis on machine-learning-based quantum chemical models;- Conduct large-scale quantum chemical simulations (such as MPI, GPU acceleration) and verify the correctness and practicability of proposed models.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Optiver is a seeking a Machine Learning Research Engineer to join our team, focusing on a pivotal AI initiative. Contributions to open-source projects related to data science and machine learning.
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Ideal candidates have a strong publication record in areas including artificial intelligence data mining, machine learning, natural language processing, and/or fields such as cognitive science, learning analytics, and psychometrics.
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We’re looking for a self-motivated, highly driven Senior Software Engineer to join our Machine Learning Operations (MLOps) team. As a team, we enable Attentive’s Machine Learning (ML) practice to directly impact Attentive’s AI product suite through the tools to train, inference, and deploy ML models with higher velocity and performance, while maintaining reliability.
$240,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Technical Expertise : Extensive experience in the complete ML development lifecycle with machine learning frameworks (e.g., TensorFlow, PyTorch and Lightning), statistical modeling, data science, and computational biology tools.
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machine learning jobs Title: devops engineer Company: Autodesk
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