AI/ML Ops Co-op

September 15

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MSD

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10,000+

Description

• The Future Talent Program features Cooperative (Co-op) education that lasts up to 6 months and will include one or more projects. • These opportunities in our Research and Development Division can provide you with great development and a chance to see if we are the right company for your long-term goals. • The Future Talent Program within the Research and Development Division Data, AI, and Genome Sciences (DAGS) Department is offering co-op opportunities that last a period of six months. • There is 1 position in the DAGS AI/ML Ops group. • Candidates can apply for the opportunity to be involved in a project designed to enable students to further develop their skills and to evaluate if we are the right company for their long-term goals. • We are seeking highly motivated and talented students with computational skills and experience. • Daily technical support for AI/ML Engineers and Data Scientists. • Build/maintain/scale custom code-heavy custom AI/ML infrastructure. • Build/maintain custom Python SDK, accelerating workflows with reusable, reliable code.

Requirements

• Candidates must be currently enrolled in a minimum of a Bachelor's degree program in Computer Science or a related field of study. • Students enrolled in graduate programs (MS or PhD) are highly encouraged to apply. • Candidates must be available to work full-time for 6 months in 2025. • Candidates must have demonstrated communication and interpersonal skills and must be able to work well in a collaborative team environment. • Candidates must have excellent academic achievement and analytical ability. • Candidates must have a passion to focus relentlessly on user experience in a fast-paced industry environment. • Candidates must have excellent interpersonal skills and a team-focused collaborative mindset to provide technical support to code-heavy AI/ML Engineers and Data Scientists. • Candidates must have experience with the full SDLC of maintaining pip-installable Python Packages following modern DevSecOps best practices. • Candidates must have experience with Confluence and Kanban Jira boards. • Candidates must have experience with AWS, Docker, GitHub, and GitHub Actions CI/CD workflows. • Candidates must have experience with modern Deep Learning Huggingface/Torch frameworks. • Candidates must have experience with distributed GPU-cluster compute.