Overview
Forward Deployed Engineer for the Life Sciences vertical, embedded in a customer’s environment to build and deploy production-grade AI workflows on Domino.
What you'll do
- Master Domino platform mechanics and core user/admin functionalities during Day 0–30.
- Shadow the customer environment and pair with a senior Forward Deployed Engineer.
- Execute independently on a prioritized backlog by Month 6.
- Build and deploy production-grade solutions across the MLOps lifecycle (development, deployment, and monitoring).
- Advise data science teams on Domino best practices.
- Lead and advise key accounts by Year 1 and translate field intelligence into product feedback.
What you'll need
- Deep proficiency in Python (primary).
- Familiarity with SQL, R, and Bash.
- Experience with Kubernetes/managed K8s (EKS, AKS, or GKE), Docker, and cloud architecture (AWS, Azure, or GCP).
- Ability to troubleshoot networking, compute, and platform issues.
- Proven track record delivering machine learning workflows, model deployment/monitoring, GPU workloads, and generative AI or agent frameworks.
- Experience operating within highly regulated or constrained environments.
Details
- Work mode: Remote US.
- Visa sponsorship may be available depending on business considerations and role requirements.
Read the full description and apply on the company’s own careers page.