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machine learning ci/cd biotech genai pharma📋 Description
- Design and ship production systems around models with data provenance.
- Ensure reliability and on-call readiness across research, clinical, and operations.
- Lead discovery from pre-sales to post-sales with plan and endpoints.
- Define launch criteria for regulated contexts with validation and audit readiness.
- Build architectures in sensitive scientific data environments with access controls.
- Run evaluation loops to measure model and system quality against benchmarks.
🎯 Requirements
- 5+ years in software/ML engineering or deployment with customer ownership.
- Experience leading end-to-end GenAI deployments from scoping to production.
- Delivered AI systems in trial design, regulatory writing, or scientific ops.
- Strong cross-disciplinary communication across scientific and technical teams.
- Ability to drive validation, auditability, and compliance in regulated contexts.
🎁 Benefits
- Hybrid work model: 3 days in office per week in Munich.
- Relocation assistance provided.
- Travel up to 50% required.
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