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Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
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A law firm is seeking a highly skilled Machine Learning Technology Specialist to join its team in San Diego, CA. The ideal candidate will be responsible for drafting patent applications, corresponding with patent offices, advising patent litigation teams, and conducting interviews with inventors.
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Experience integrating machine learning systems into interactive dashboards (e.g. Dash, Streamlit) and present use cases of machine learning to non-technical colleagues.
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As a data strategist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
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The Structural and Computational Biology (SCB) group within Prescient Design seeks exceptional researchers who have a demonstrated research background in protein structural biology and design, machine learning, and project management, a passion for research and technical problem-solving, and a proven ability to implement ideas and apply methods.
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Manage classroom activities while ensuring compliance with GA Dept of Early Care and Learning and the goals and objectives of the current GA Pre-K curriculum. Knowledge of GA Pre-K requirements, and GA Dept. of Early Care and Learning Requirements.
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We're looking for a medicinal chemist to drive our drug discovery projects, who is also excited about partnering with machine learning scientists and software developers to advance our computational platforms that accelerate compound design and synthesis.
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The Staff Machine Learning Engineer is a versatile role in Behaviors that drives a wide spectrum of applied ML research and development to overcome challenges on urban roads. This Includes Working On a Variety Of Really Exciting Problems Such As The Behaviors Teams at Cruise are responsible for developing machine learning models to enable our AV to drive smoothly and safely around an urban environment.
$183,600 - $270,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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Role: OFSAA Technical LeadTechno Functional expertise on OFSAA FCCM suite of productsExperience in the data flow within OFSAA AML, KYC, ECMKnowledge on OFSAA CTR (Current Transaction Reporting) and CRR (Customer Regulatory Reporting)Experience in PL/SQLExperience in Oracle OJET, Oracle Forms Framework, HTML, CSS, JavaScript, and Shell script.
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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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Our Learning and Development offerings include Aurora Academy, where our people learn, develop, and practice the essential skills that drive Aurora s mission, continually up-leveling our team along the way.
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Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company.
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Research, design and implement scalable machine learning (ML) models for recommender systems, and/or other scalable computational models in an iterative product cycle. With a problem solving attitude, map the product and business requirements to an machine learning/AI problem.
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machine learning technical lead jobs Title: product manager Company: Sap America in ME, Us
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