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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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Hands-on experience with at least one main stream deep learning framework such as PyTorch, TensorFlow, and ONNX. Computer Vision (CV) and Machine Learning (ML) methods based on data from a variety of sensors.
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What You Should BringProven Experience: A track record of success in architecting and developing AI-driven solutions, with hands-on experience in machine learning, deep learning, NLP, and generative AI technologies.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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As a machine learning engineer, you’ll have the opportunity to immediately drive a huge, direct impact for Propel! Lead Propel in building machine learning infrastructure that all teams can take advantage of.
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Snowflake or Databricks certifications and/or hands-on-keyboard experience. A Glimpse into the Daily Routine of a Machine Learning Engineer. Self-motivated and proactive, with a passion for learning and staying updated with the latest trends and advancements in the field of data engineering.
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Duties: This role will provide wet lab support for in-silico/ machine-learning guided design within our group. Skills: Familiarity and hands on experience with protein expression and purification.
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Develop and optimize machine learning algorithms and models using Python, with a focus on performance and scalability , working very closely with the Data Scientists. Leverage data science frameworks like TensorFlow, PyTorch, and Spark ML to build robust and scalable machine learning solutions.
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Responsibilities Play a critical role in setting the direction and goals for one of our ML teams in terms of project impact, ML system design and ML excellence Be a go-to person for the most complex production performance and evaluation issues requiring an in-depth knowledge of how the machine learning system interacts with systems around it Lead and review technical designs for projects within your team, actively contributing to team-level strategies setting clear, achievable engineering goals.
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Understanding or hands on experience with Lex, Nuance Mix, Dialog Flow, AWS and Google Cloud, R, Power BI, Tableau, Alteryx; Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms.
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A minimum of seven years of hands-on experience or equivalent with inferential statistics, A/B testing, machine learning, predictive modeling and statistical analysis techniques in a healthcare or similar environment.
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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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We are looking for a passionate Machine Learning Engineer to build and scale the DTC personalization systems and services for our new global streaming app, Max, as well as any future DTC streaming apps.
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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)Doctorate, Masters: Artificial Intelligence.
$117,000 - $234,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value; We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology.
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Machine Learning Engineer, NeRF. The ideal candidate will have a strong background in computer vision, machine learning, and deep learning, as well as experience working with neural radiance fields.
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hands on machine learning jobs Title: solutions architect sr in Laramie, Wyoming
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