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E.g. Alteryx, PowerBi, Tableau, Snaplogic and RPA technologies (UiPath, Automation Anywhere, PowerAutomate, etc), and machine learning/Artificial Intelligence. Demonstrate knowledge of technologies that support collaboration, automation and data-driven story-telling including:Microsoft Products (Teams, PowerBI, MS Office), G-Suite (Google), and business intelligence tools.
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Job Description :We are looking for a seasoned Machine Learning Engineer specialized in Large Language Models (LLMs) to drive the development and deployment of cutting-edge AI solutions.
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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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Experience operating an industrial sewing machine and industrial pressing iron. Handle all aspects of sewing: machine sewing, hand finishing, draping, cutting, bustling, pressing, Experience operating an industrial sewing machine and industrial pressing iron.
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We use Deep Learning (the most sophisticated machine learning) to build custom algorithms for digital marketers to help grow their customer base. Leveraging cutting-edge deep learning technology and data science since 2015 to more accurately predict consumer behavior and understand nuance, Cognitiv enables brands to connect with their customers in more precise, relevant, impactful moments at scale.
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Knowledge of advanced control systems topics including data management, artificial intelligence, machine learning, cybersecurity, network architecture. Professional Engineer (PE) license.
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They are responsible for content instruction in mathematics, English Language Arts, and social studies, and social-emotional learning. In addition to rigorous, joyful and engaging academics, Public Prep emphasizes social-emotional learning as critical to supporting the whole child.
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The Senior Manager of Ontology and Data Modeling will be responsible for partnering with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services.
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GCS Prescient Design is seeking an exceptional Senior Machine Learning Engineer to develop our LLM and AI product and enable the next generation of foundational research in machine learning for scientific discovery.
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Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types.
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. Passion about continuously learning new technologies, frameworks, and services.
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4- 8 years of experience as machine learning engineer/data scientist. Experience using machine learning libraries or platforms, including Tensorflow, Caffe, Theanos, Scikit- Learn,or ML Lib for production or commercial products.
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Minimum of 3 years' experience related to new technology (Digital Thread / Twin, Robotic Process Automation, IoT, Machine Learning, Artificial Intelligence, Blockchain, etc.) Digital Factory Strategy - Industry 4.0, IoT platform, artificial intelligence, machine learning, prescriptive maintenance, connected devices, connected workers, blockchain, etc.
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An inclusive culture that expects excellence and priorities your growth as an engineer and your well-being as a person. As an ML Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data.
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We are seeking an experienced Machine Learning Infrastructure Engineer to join our team as we continue building more and more models into our key business processes. This role focuses on developing, deploying, and managing scalable machine learning solutions within our tech stack that includes Snowflake, dbt, Python, Kubernetes, and Java. The ideal candidate will have a strong foundation in software engineering and data infrastructure, as well as a proven ability to implement efficient, scalable, and robust decisioning platforms.
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machine learning jobs Title: machine learning engineer Company: Google in New York, Fernley, Nevada
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