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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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AI and Machine Learning: Utilize state-of-the-art AI and machine learning techniques, including natural language processing (NLP), to train the chatbot for accurate and effective communication.
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As a Research Engineer working at the Reality Labs, you will be responsible for the implementation and acceleration of our EMG machine learning platform; creating new AI models, tools, and infrastructure that unlock the capabilities of our technology; productionizing our research results, and working with scientists, software engineers, hardware engineers and designers to advance the company's AI-driven AR/VR agenda.
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Apex Systems is working with a Health Technology Team seeking a Machine Learning Engineer to work with the digital health technology team. UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Apex Systems.
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In this role, you will be responsible for spearheading the development of the next generation of convergent advanced advertising and optimization products, using the latest advancements in machine learning.
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Machine Learning Engineer/AI Engineer. Machine Learning Engineer/AI Engineer. Data Science / Machine Learning => 5/10 experience.
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The A12 team is an elite machine learning group strategically located within the CTO office of JP Morgan Chase which tackles business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software, Cybersecurity and Technology Infrastructure.
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You have previous Individual contributor experience in both data engineering and machine learning engineering for deep learning models, preferably in a scientific application. Apply expertise to enable training and validation of machine learning models using data from multiple sources, including DEL screening experiments, to rapidly and cost effectively discover and optimize chemistries.
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Experience developing AI and deep learning-based machine vision metrology applications where defects can be trained using simple UI’s. 2+ years of hands-on experience with machine vision systems in a PCB, Consumer Electronics, Automotive or similar field.
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Experience with parallel programming, machine learning, bioinformatics, cybersecurity, sparse linear algebra or graph databases is preferred. Experience with machine learning, bioinformatics, cybersecurity, sparse linear algebra, and/or graph databases are highly preferred.
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SQA/Build Engineer- Define, implement and maintain software build and release process. Software engineer positions offer a unique opportunity to be a big part of a leading edge, growing company.
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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. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer.
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Experience using Azure tools Notebooks, BYOML (Bring Your Own Machine Learning), or Open AI (Artificial Intelligence) is a big plus. Familiar with Azure connected machine agent deployments using Azure Arc and creating custom rules and connections; proven experience utilizing Azure DevOps for managing several Azure Sentinel instances in multiple tenants.
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As the Senior Machine Learning Software Engineer you will be responsible for diving into the nuance of Etsy’s fulfillment data to generate ML solutions that help generate real-world predictions for complex calculations such as delivery speed and cost.
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Work with the latest technologies : You'll gain exposure to a broad spectrum of IoT, SaaS and machine learning obstacles, including distributed fault-tolerance, device control optimization, and process modeling to support scalable interaction with disparate downstream APIs.
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machine learning jobs Title: engineer in Brooklyn, NY
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