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The Research Computing Center (RCC) seeks to hire an experienced Computational Scientist – Scientific–AI and Machine Learning to serve as a domain expert in supporting and advising faculty, post-docs, and graduate students on projects in a wide range of research domains.
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TDD, CI/CD, Distributed Computing, Linux Stack, MLOps, Machine Learning Operations, HPC, High Performance Computing, AWS, GCP, Cloud, Trading, Financial, Remote, Work From Home, Chicago Recruiters, Information Technology Jobs, IT Jobs, Chicago RecruitingLooking to hire for similar positions in Chicago, IL or in other cities.
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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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We are looking for an experienced Machine Learning Engineer to develop our next-generation intelligent translation and translation-related service engine, using machine learning and natural language processing techniques.
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6+ years of experience in machine learning, deep learning, and natural language processing. Build high-performance, cloud-native machine learning infrastructure and services to enable rapid innovation across United.
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United Airlines is seeking dedicated professionals to join the Data and Machine Learning Engineering team. 6+ years of experience in machine learning, deep learning, and natural processing.
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Open Source Contributions: Contributions to open-source projects related to data science and machine learning. The dynamic environment is ideal for leveraging machine learning, research infrastructure, and big data computing.
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Machine Learning Engineer. Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models.
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ReflexAI brings the best in machine learning and natural language processing to mission-driven, people-centric organizations via innovative tools that transform how they train, develop, and empower their frontline teams.
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As a Machine learning engineer, you'll get to leverage AI and deep learning to thrive in a fast-paced, cutting-edge environment, and apply your advanced degree in a highly impactful role.
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Lead Machine Learning Engineer (Python, Spark, MLOPS, AWS) New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer. As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
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Responsibilities:Work collaboratively with Software Engineering, Data Engineering, and Machine Learning to deliver scalable and reliable MLOps pipelines into production. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc.
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Practiceis part of ZS's rich and advanced AI ecosystem, in the Architecture & Engineering Expertise Center, focused on creatingcontinuous business value forclientsusinga range of innovative machine learning,deep learning, and engineering capabilities.
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You’re proficient in machine learning packages, such as Tensorflow and Pytorch, and have proven expertise in designing/developing AI/ML models. We do this by leveraging state-of-the-art machine learning, modern architectures, and industry experts, to create AI-powered solutions that transform the way we do business.
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Customer Service: Using machine learning and NLP, automate customer service interactions and provide context to our customer service team. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions.
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