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As a Google Vertex Full Stack Software Engineer, you will be responsible for developing and implementing machine learning models using Google Vertex AI and developing consumable API microservices using Typescript, Node.js, Express.
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Develop and implement train machine learning models using Google Vertex AI and Typescript, Express. Design, build, deploy machine learning models and microservices on the Google Cloud Platform.
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We are seeking a Full-Stack Software Engineer (Google Vertex) to join our team and transform ford.com into a customer engagement platform with modern designs and best-in-class experience.
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Optimize and fine-tune machine learning models for performance and efficiency. 1 + years of experience in machine learning engineering or a related field. Stay updated on the latest advancements in machine learning and AI technologies.
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Innovative Refrigeration Systems is looking to hire a Lead Machine Learning Engineer full-time onsite in Waynesboro, VA. You would be joining our software engineering department to build machine-learning models optimizing energy efficiency for heavy industrial refrigeration / cold storage facilities.
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2 + years of experience with developing REST APIs with progressive responsibilities in software development in a scaled agile environment with Typescript, Node.js. Ability to collaborate well with software engineers, designers, and business partners.
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Familiarity with Front-end web development technologies (React, Vue.js, Angular, etc.) 2 + years of experience with developing microservices and implementing CI/CD pipelines via cloud computing services like (Google Cloud Platform preferred), AWS, Azure or similar.
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Js, Koa or other Back-end frameworks. Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up childcare and more. Advance use of Natural Language Processing including the extensive use of Large Language Models for text analysis.
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2 + years of experience with React, Angular or other Front-end web development technologies. Familiarity with REST APIs and Cloud architectures (Google Cloud Platform) Understanding of Release Management, Source Code repository management, CI/CD practices and tools (GitHub, Maven, Jenkins etc.
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At least 2 years of relevant experience deploying machine learning models & software to cloud scale environments. 4+ years of experience implementing and applying algorithms for machine learning and artificial intelligence.
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As a Full Stack principal engineer, you will work on the front-end, API, middleware and back-end architecture, design, coding using various languages, evaluate and use different development frameworks including microservices architecture and DB design, third-party and open-source software and libraries.
$160,000 - $170,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Lead Software Engineer, Full Stack (JavaScript, Typescript, Node.js) As a Capital One Lead Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Master’s degree in Computer science with ML as a focus, Computer Engineering, Electrical Engineering or related field. Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering or related field or a combination of education and equivalent work experience.
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We work on cutting edge technologies like Machine Learning, Hadoop, Python, Scala, Pega,. We work on cutting edge technologies like AI, Machine Learning, Hadoop, Python, Scala, Pega.
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The Machine Learning Engineer will work closely with the CTO to build the core data platform at the heart of the company’s drug discovery engine. (Full Time) Machine Learning Engineer at Output Biosciences (United States) | BEAMSTART Jobs.
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