Principal Machine Learning Engineer

Location: Bengaluru, India

Department: Data Science & Analytics

Experience: 8 - 12

• Define reference ML architectures for training, inference, and monitoring
• Lead Next-Generation (NG) Models lifecycle (Quantification + Cycle Tracking + App)
• Drive optimal algorithm design and system scalability
• Enforce separation of deterministic logic vs ML components
• Standardize patterns for features, datasets, and evaluations
• Maintain the ML technical roadmap
• Review system and model designs across teams

• Translate product claims into ML requirements
• Maintain end-to-end traceability (Requirement → Model → Dataset → Validation → Release)
• Identify algorithmic risks and mitigations
• Contribute to SRS, RMF, and V&V artifacts
• Act as technical SME during audits

• Drive requirements-driven ML development
• Enforce versioning of code, models, and datasets
• Define verification vs validation triggers
• Establish release gates and rollback strategies
• Integrate post-market monitoring & model drift learnings

• Strong experience in ML system design & architecture
• 8-12 years of experience required.
• Proven expertise in production-grade ML lifecycle
• Deep understanding of scalable and explainable ML systems
• Experience with controlled SDLC / risk-aware development
• Exposure to regulated / quality-driven environments preferred

• Provide technical direction and architectural clarity
• Balance accuracy, latency, cost, and reliability
• Reduce algorithmic and regulatory risk
• Build traceable, defensible ML systems
• Clearly justify model behavior, decisions, and safety