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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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O Financial Process automation, standardization, organizational consolidation (e.g. Creating, Defining Finance Centers of Excellence, automating processes through robotics or applied intelligence, machine learning.
$93,400 - $258,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Our digital ecosystem combines the power of technology to create beautiful smiles through the integration of AI and machine learning, digital imaging and visualization, biomechanics and material science to develop the Invisalign system, the most advanced clear aligner system in the world; iTero Intraoral Scanners andOrthoCADdigital services.
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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 Global Product Manager, Digital Solutions is a unified upstream and downstream marketing position responsible for leading & managing the end-to-end development and global commercialization of Align’s doctor facing digital initiatives and products.
$151,400 - $177,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Finance and Performance Analytics Enabling Technologies (Anaplan, OneStream, Oracle EPM Cloud, SAP SAC, SAP Group Reporting, Workday - Adaptive Insights, Planful, Board, Tagetik or other EPM enabling technology.
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Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and experience deploying machine learning models using containerization technologies (e.g., Docker, Kubernetes). Design, develop, and implement machine learning models and algorithms to solve complex problems across various domains, including but not limited to recommendation systems, natural language processing, and predictive analytics.
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As our first Data Science hire focusing on Machine Learning at Circle, you’ll start by focusing on two critical problems: helping identify transactions and actors who might be acting illicitly and helping us better balance our reserves across a series of accounts to reduce systemic risk inside the company.
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Reporting to the Director of Machine Learning Engineering the role requires a skilled Machine Learning Engineer to design, build, and deploy machine learning models that will help us derive actionable insights and solve complex problems.
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We are surpassing the boundaries of classical physics and modern supercomputing, ushering in a new era of computing that promises to revolutionize industries including medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and beyond.
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You will deploy and deliver technical solutions at the intersection of computational chemistry and machine learning, supporting research directions in molecular design across broader gRED and Roche.
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We are open to hiring candidates to work out of one of the following locations:Seattle, WA, USABASIC QUALIFICATIONS- 10+ years of applied research experience- 5+ years of management experience with scientists and/or machine learning engineers - 5+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Knowledge of ML, NLP, Information Retrieval and Analytics- Experience programming in Java, C.
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Must have a strong background in one or more of the following: Mathematical, Statistics, Probability, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence.
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Machine Learning Engineer New York City – IN PERSON $175,000 - $200,000 + Equity Harnham is partnered with a notable high-growth technology company at the forefront of radio spectrum and wireless signal analysis.
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Proven experience as a Data Scientist, with a focus on machine learning, LLM, and Deep Learning. Stay updated on the latest advancements in machine learning, particularly in the areas of LLM and Deep Learning, and apply cutting-edge techniques to solve complex problems.
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machine learning technology manager jobs Title: marketing manager Company: Strategic Employment Partners Sep
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