Staff Engineer, AI Infrastructure & MLOps
Pfizer
Πλήρης απασχόληση Μακρινός
Εργασία εξ αποστάσεως
About The Team
The MLOps Platform team builds and operates Pfizer’s self-service MLOps platform.
We give researchers, ML scientists, and application developers a paved road to discover, validate, register, deploy, and consume models under enterprise security and compliance constraints.
What You’ll Do
Work Location Assignment: Remote/Hybrid, Europe (Any Pfizer Site)
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
Information & Business Tech
The MLOps Platform team builds and operates Pfizer’s self-service MLOps platform.
We give researchers, ML scientists, and application developers a paved road to discover, validate, register, deploy, and consume models under enterprise security and compliance constraints.
What You’ll Do
- Contribute to the evolution of the platform through design documents and implementation of cross-cutting improvements across validation, serving, registry, and infrastructure.
- Drive our multi-cloud and Kubernetes expansion (AWS today, GCP and GKE next), keeping both runtimes coherent behind shared abstractions for deployment, observability, auth, and audit.
- Own the managed serving and registry lifecycle end-to-end, including network-isolated validation, approvals, and integration with a shared GenAI gateway.
- Own the infrastructure, build, and runtime stack: Terraform across providers, container orchestration, CI/CD, and a vendor-agnostic observability and on-call model.
- Take end-to-end ownership of features and platform components, from requirements gathering and design to implementation, deployment, and production support, contributing to overall engineering quality.
- Senior platform/backend experience, with multiple years owning a production system end-to-end.
- Strong Python skills, with enough frontend literacy to review and contribute across the stack.
- Kubernetes in production and Terraform across multiple environments and providers; experience with at least one of AWS or GCP (and ability to learn the other).
- A track record of writing design documents, ADRs, and runbooks — not just code.
- Hands-on experience operating ML serving or model registry systems in production.
- Experience evolving a platform from single-cloud to multi-cloud without forking the product.
- GitOps (ArgoCD / Flux), hermetic monorepo builds, and shared GenAI gateway integrations.
- Experience working in regulated environments with audit, SSO, and approval workflows.
Work Location Assignment: Remote/Hybrid, Europe (Any Pfizer Site)
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
Information & Business Tech
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