Principal Machine Learning Engineer

Role Overview

We are seeking a Principal Machine Learning Engineer to lead ML system architecture, enforce technical standards, and ensure controlled, audit-ready AI development. This role operates across ML design, regulatory alignment, and risk-aware SDLC, ensuring models are scalable, explainable, and defensible.

Key Responsibilities

ML Architecture & Technical Leadership

- 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

QMS & Regulatory Alignment

- 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

AI & Software Lifecycle (Controlled SDLC)

- 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

Requirements

- 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

What We’re Looking For

We’re looking for a system-level ML leader who can:

- 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