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python mlops genai ml engineering data provenance📋 Description
- Design and ship production systems around models across research, clinical, and operational workflows.
- Own integrations, data provenance, reliability, 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 and audit readiness.
- Build in sensitive scientific data environments with auditability and access controls.
- Run evaluation loops to measure model quality against benchmarks.
🎯 Requirements
- 5+ years in software/ML engineering or deployment with customer ownership in biotech/pharma.
- PhD/MS or equivalent life sciences experience encouraged.
- Owned GenAI deployments end-to-end from scoping to production adoption.
- Delivered AI systems in trial design, regulatory writing, or scientific operations with validation constraints.
- Communicate clearly across scientific, clinical, model research, technical, and exec audiences.
🎁 Benefits
- Hybrid work model: 3 days in office per week.
- Relocation assistance.
- $220K–$280K USD per year plus equity.
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