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Builds relationships with trusted advisory stakeholder relationships, and acts as a SME for Artificial Intelligence/Machine Learning related products and services in specific verticals; staying current on the latest Artificial Intelligence/Machine Learning technologies and tools.
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Apply your advanced understanding of machine learning principles, including advanced analytics tools, applied mathematics, ML and Deep Learning frameworks and libraries, and ML techniques to design, build and support machine learning to achieve high quality generative AI user experiences.
$74,800 - $178,200ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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3-5 years of experience building and implementing artificial intelligence, neural networks, deep learning, or machine learning capabilities in software applications in a national security or academic environment.
Full-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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You will have experience operating and scaling large data processing pipelines that utilize GenerativeAI and machine learning technologies such as Databricks, AWS SageMaker, ML Ops, etc.
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Consideration for Top Candidates: AWS Certified Solution Architect – Professional (and/or) AWS Certified Machine Learning Specialty. Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques.
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community.
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Lead Software Engineer, Full Stack (JavaScript, Typescript, Node.js) At least 6 years of experience in software engineering (Internship experience does not apply) 7+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go.
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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. 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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At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC.
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Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law.
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Academic experience or interest in one or more of the following: JS/Node, Python, Node, React, Ruby/Rails, SQL, AWS, Data Science, Machine Learning or Web Services. Basic learning experience on Big Data platforms and tools like AWS, Azure, GCP and tools like Spark, Kafka, Snowflake, AWS Glue, Python/PySpark, etc.
$41,600 - $83,200 a yearInternExpandUpdated 16 days ago - UpvoteDownvoteShare Job
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As a Principal AI/ML Engineer ,you will be responsible forbuilding machine learning based solutions for Data Integration, Data Quality, Master Data Management, Data Governance, and other Information Management solutions.
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AWS Certified Cloud Practitioner; AWS Certified Database - Specialty; AWS Certified Data Analytics - Specialty; AWS Certified Machine Learning - Specialty; AWS Certified Solutions Architect - Professional.
$107,600 - $161,400 a yearFull-timeExpandUpdated 17 days ago - UpvoteDownvoteShare Job
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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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