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Forward Deployed Engineer, Life Sciences

Domino Data Lab
Posted a month ago

LOCATION

United States · Remote

EXPERIENCE

Not specified

SKILLS REQUIRED

KubernetesMLOpsPythondockerModel DeploymentModel MonitoringNetworking TroubleshootingGPU Workloads

Job description

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.

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Forward Deployed Engineer, Life Sciences