AI Development and DevOps Engineer
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Summary
Designs and operates AI platforms specializing in large language models for Capital Markets, building AI services on top of an existing DevOps stack. Day to day involves developing CI/CD solutions with GitHub Actions and Groovy, integrating and testing new tools, and coaching teams on DevOps best practices.
Drive innovation as an AI Development and DevOps Engineer, enhancing application efficiency for Capital Markets through automation. Shape the future of our DevOps practices.
As a key player in our team, you will design and operate AI platforms specializing in Large Language Models. Your role is centered on improving efficiency across application processes while mentoring teams on utilizing our DevOps capabilities effectively. If you thrive in an environment that values creativity and automation, we want to hear from you.
Key Responsibilities: • Build AI services that enhance the existing DevOps stack • Develop CICD solutions with GitHub Actions and Groovy • Coach teams on best practices within DevOps • Champion developer experience in all initiatives • Support new tool integration through testing and evaluation
Requirements: • Strong background in AI/GenAI platform design and operation • Experience building LLMOps and MLOps frameworks • Proficiency in reusable AI service development • Knowledge of CI/CD tools like Jenkins and GitHub • Cloud technology experience, particularly AWS or Azure
Contribute to a culture of innovation and efficiency with your expertise in AI and DevOps.
As a key player in our team, you will design and operate AI platforms specializing in Large Language Models. Your role is centered on improving efficiency across application processes while mentoring teams on utilizing our DevOps capabilities effectively. If you thrive in an environment that values creativity and automation, we want to hear from you.
Key Responsibilities: • Build AI services that enhance the existing DevOps stack • Develop CICD solutions with GitHub Actions and Groovy • Coach teams on best practices within DevOps • Champion developer experience in all initiatives • Support new tool integration through testing and evaluation
Requirements: • Strong background in AI/GenAI platform design and operation • Experience building LLMOps and MLOps frameworks • Proficiency in reusable AI service development • Knowledge of CI/CD tools like Jenkins and GitHub • Cloud technology experience, particularly AWS or Azure
Contribute to a culture of innovation and efficiency with your expertise in AI and DevOps.