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Domino Data Lab

Makes software for building AI at regulated firms

Forward Deployed Engineer - Life Sciences

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeBerlin, GermanyNo salary listedIn-person

About the Job

Requirements

  • Strong engineering background with deep proficiency in Python, plus familiarity with SQL, R, and Bash.
  • Experience with Kubernetes and managed Kubernetes solutions such as EKS, AKS, or GKE, Docker, and cloud architecture on AWS, Azure, or GCP; ability to troubleshoot networking, compute, and platform issues.
  • Track record of delivering machine learning workflows, model deployment and monitoring, GPU workloads, and generative AI or agent frameworks.
  • Experience operating within or consulting for highly regulated or constrained environments, navigating compliance rules, data security hurdles, and infrastructure limits.
  • Ability to conduct structured discovery conversations, lead technical solutioning sessions, and translate customer requirements into buildable, tested solutions.
  • Ability to work effectively in ambiguity, resolve blockers, and become productive quickly in unfamiliar codebases.

Responsibilities

  • Learn Domino platform mechanics and core user and administrator functionalities, and shadow customer environments with a senior Forward Deployed Engineer to understand client data, tools, and commercial objectives.
  • Take ownership of customer engagements and execute independently against a prioritized backlog managed by an Engagement Manager.
  • Build and deploy production-grade solutions across the MLOps lifecycle, including development, deployment, and monitoring.
  • Advise data science teams on Domino best practices.
  • Lead and advise on key accounts as a trusted advisor to technical and business stakeholders.
  • Create reusable playbooks, integration templates, and deployment guides for the shared knowledge base to improve delivery speed across the Forward Deployed Engineer practice.
  • Translate field intelligence into product feedback and route platform signals to SRE, Support, and Product teams to inform the product roadmap.

About the Company

Domino Data Lab

Makes software for building AI at regulated firms

Domino Data Lab makes software that large companies and government agencies use to build and govern AI, with a focus on heavily regulated fields such as drug development, banking, and defense. Its platform, launched in 2014, was one of the first to package each data science project in a container, a sealed software setup, so results can be rerun exactly. Data scientists write code in Python, R, or SAS and train models on their company's own servers or any major cloud, while Domino logs each step so auditors can trace how a result was made. Customers pay subscriptions priced by the number of users and run Domino themselves or as a service Domino hosts. Domino was founded in 2013 and is based in San Francisco.

Company size
201-500
Company stage
Series F
Total funding
$226.6M
Headquarters
San Francisco, CA
Founded
2013

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