Experteer Overview La información a continuación detalla los requisitos del puesto, la experiencia esperada del candidato y las cualificaciones correspondientes.

In this role you will integrate Domino’s AI platform into highly regulated life sciences environments, building production-grade AI workflows and deployments. You will work closely with customers to understand data, tooling, and objectives, delivering end-to-end MLOps solutions and sharing best practices. You’ll own engagements from onboarding to strategic scale, influencing platform adoption and roadmap through field feedback.

This role combines hands-on coding with customer collaboration to accelerate high-impact AI projects in regulated settings.

Compensaciones / Incentivos

- Onboard and shadow customer environments to learn data and tooling stacks
- Own engagements end-to-end across the MLOps lifecycle (development, deployment, monitoring)
- Advise data science teams and translate requirements into tested,



reusable solutions
- Lead accounts and contribute to playbooks, templates, and deployment guides
- Provide feedback to SRE, Support, and Product teams to shape the roadmap

Responsabilidades

- Strong Python experience (primary)
- Familiarity with SQL, R, Bash
- Experience with Kubernetes and managed Kubernetes (EKS/AKS/GKE), Docker
- Cloud experience (AWS/Azure/GCP) xugodme and troubleshooting of infra issues
- Proven track record delivering ML workflows, model deployment, GPU workloads, generative AI/agent frameworks
- Experience in regulated environments and navigating compliance constraints
- Consultative communication across technical and business audiences
- Ability to thrive in ambiguity and work quickly inside unfamiliar codebases

Requisitos principales

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📌 Forward Deployed Engineer, Life Sciences (Barcelona)
🏢 Domino Data Lab
📍 Barcelona