Teams at Domino Data Lab

Build scalable AI and machine learning platform capabilities across model development, deployment, monitoring, cataloging, tagging, and LLM hosting. Collaborate with customers and cross-functional teams to integrate platforms such as AWS SageMaker and Azure ML. Develop secure APIs and distributed backend systems, optimize cloud and containerized services, and establish robust testing and CI/CD pipelines.

Build and deploy production-grade AI and machine learning solutions within regulated customer environments. Develop specialized AI workflows, model deployment and monitoring systems, cloud and data integrations, applications, CI/CD extensions, and secure platform solutions. Advise data science teams, lead customer engagements, troubleshoot infrastructure, create reusable delivery materials, and provide product feedback to engineering, support, and product teams.

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.