About the Company
A fast-growing European biopharma organization at the forefront of rare disease medicine commercialization. Operating across 40+ markets, the company accelerates the path from regulatory approval to patient access—cutting timelines in half compared to traditional pharma. With a mission to make life-saving therapies available faster, they’re now investing in AI to redefine how medicines reach the market.
The Opportunity
Join a newly formed AI & Digitalization function and take ownership of building the company’s AI infrastructure from the ground up. As one of the first hires in this division, you’ll design, deploy, and scale MLOps pipelines that power intelligent automation, large language model integrations, and real-world healthcare applications. This is a greenfield role with full autonomy—no legacy systems, no red tape, and huge scope for impact.
Key Responsibilities
Architect and maintain cloud-based AI/ML infrastructure (Azure preferred, but AWS/GCP welcome).
Develop ETL/ELT data pipelines and manage orchestration for large-scale AI workflows.
Automate deployment, monitoring, and retraining of machine learning models.
Build integrations using REST APIs, event-driven systems, and secure authentication frameworks.
Collaborate cross-functionally to translate real business needs into scalable, compliant AI systems.
Essential Skills
2+ years’ experience with Kubernetes (AKS, EKS, or GKE) and Infrastructure-as-Code (Terraform).
Proven Python skills for orchestration, automation, and tooling.
Strong background in CI/CD (GitHub Actions, GitLab, or Azure DevOps).
Experience with data engineering tools (Azure Data Factory, Synapse, or similar).
Solid understanding of MLOps frameworks (MLflow, model monitoring, experiment tracking).
Nice-to-Haves
Exposure to LLMs, RAG, and vector databases (OpenAI, Hugging Face, Langfuse).
Experience in pharma or regulated industries (GxP, GDPR, 21 CFR Part 11).
Familiarity with low-code automation tools (n8n, Make.com, Zapier).
You’ll Thrive If You Are:
A proactive builder who loves working on greenfield projects.
A fast mover who prototypes and iterates quickly.
A clear communicator comfortable bridging technical and non-technical teams.
Entrepreneurial, curious, and motivated by meaningful impact in healthcare.
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