Teams at Domino Data Lab

Build and deploy production-grade AI solutions for regulated life sciences customers. Develop machine learning workflows, integrations, interactive applications, and generative AI or agent solutions across the MLOps lifecycle. Troubleshoot cloud, Kubernetes, networking, and platform issues; advise data science teams; lead technical discovery; own customer engagements; create reusable deployment resources; and provide product feedback to engineering and product teams.

Build and deploy production-grade AI and machine learning solutions for regulated life sciences customers. Responsibilities include developing Python-based workflows, managing MLOps lifecycles, integrating cloud and data systems, troubleshooting Kubernetes and infrastructure issues, advising data science teams, leading technical discovery, and translating customer requirements into tested solutions. The role also creates reusable delivery assets and provides product feedback to engineering, support, and product teams.

Develop custom AI solutions for customers using the Domino platform. Partner with experienced forward-deployed engineers to enhance legacy workflows, write code, design solutions, and deliver data science, MLOps, and software engineering outcomes in high-impact industries.