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data security python machine learning system design genai📋 Description
- Design and ship production systems around models, incl. data flows and on-call readiness
- Lead discovery and scoping from pre-sales to post-sales with delivery plan
- Define launch criteria for regulated contexts and adoption metrics
- Build in sensitive data environments with auditability and access controls
- Run evaluation loops to measure model/system quality in life sciences
- Distill learnings into reference architectures and templated workflows for scale
🎯 Requirements
- 5+ years in software/ML engineering or deployment with customer ownership in biotech/pharma/clinical/scientific software; advanced degree preferred
- Owned GenAI deployments end-to-end from scoping to production adoption and evals
- Delivered AI systems in regulated scientific settings with validation and compliance
- Communicate across scientific, technical, and executive audiences with clarity
- Apply systems thinking with high execution standards in regulated environments
🎁 Benefits
- Salary USD 220K–280K with equity
- Relocation assistance
- Hybrid work model: 3 days in office per week
🚚 Relocation support
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