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python machine learning genai data provenance production deployment📋 Description
- Design and ship production systems around models, data provenance, and on-call readiness.
- Lead discovery and scoping from pre-sales through post-sales with measurable endpoints.
- Define launch criteria for regulated contexts, including validation evidence and audit readiness.
- Build in sensitive scientific data environments with auditability and access controls.
- Run evaluation loops to measure model and system quality against benchmarks.
- Distill deployment learnings into reference architectures and validation templates.
🎯 Requirements
- 5+ years of software/ML engineering or deployment with customer-facing ownership.
- Owned GenAI deployments end-to-end from scoping to production adoption.
- Delivered AI systems in trial design, regulatory writing, or scientific operations.
- PhD, MS, or equivalent life sciences experience encouraged.
- Communicate across scientific, clinical, model research, technical, and executive audiences.
🎁 Benefits
- Hybrid work model: 3 days in office per week.
- Relocation assistance provided.
- Travel up to 50% is required.
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