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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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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 design.
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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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Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, 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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Lead Software Engineer, Full Stack (Java) 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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Demonstrated experience with open-source infrastructure as code software and automation software development tools including Terraform, Terragrunt, env0, Ansible, Python, Chef, Puppet or Salt.
$201,950 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems.
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Advanced-Data Architecture : Architect and refine a scalable, robust cloud data architecture within AWS or GCP, integrating Snowflake for data warehousing, SQL Server for database management, and leveraging Python, SSIS, and DataStage for complex ETL processes.
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At least 1 year of experience working with the following Cloud technologies: AWS, Azure, GitHub, Bamboo, Chef or Terraform. Requires a minimum of a bachelor's or foreign equivalent degree in Management Information Systems, Computer Science and Engineering, or a related field plus 4 years of experience as a software developer, data engineer, or related occupation.
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Qualifications - Proficiency in programming languages such as JavaScript, TypeScript, Python, and CSS. - Experience with frameworks and technologies such as React, Django, FastAPI, AWS (Amazon Web Services), and Microsoft Azure.
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Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications.
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Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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Lead Software Engineer, Full Stack. devops, java, matlab, perl, python, sdet, software developer, software programmer. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 9+ years of experience in application development including Python, SQL, Scala, or Java.
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And employ operations research analysis using COTs simulation software, SAS, Tableau, Microsoft Power Platform, open-source coding (Python, R, etc.) Proficiency in COTs simulation software, SAS, Tableau, Microsoft Power Platform, open-source coding (Python, R, etc.
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