Lead AI/ML Engineer - Hybrid ML Optimisation ,Gurobi, CPLEX

Lead the strategy, design, and technical leadership for advanced AI/ML and optimization solutions addressing complex healthcare business problems with measurable impact.

Own end-to-end solution lifecycle including problem formulation, model development, solver selection, production deployment, and MLOps integration to deliver scalable, secure optimization and AI systems.

Manage and mentor a small team of AI/ML engineers while driving innovation and adoption of reusable frameworks and governance standards across the enterprise.

Bachelor's degree in Computer Science, Mathematics, Engineering, Operations Research, or related field; Master's degree preferred.

Minimum 15 years of experience in applied AI/ML or optimization-focused roles with leadership experience on enterprise-scale AI and optimization initiatives.

Hands-on expertise with optimization frameworks (Gurobi, CPLEX, Pyomo, OR-Tools), ML/DL frameworks (PyTorch or TensorFlow), Generative AI (LLMs, prompt engineering), and programming in Python and SQL.

Experience managing production readiness, MLOps practices, and compliance with healthcare data regulations such as HIPAA and SOC 2.

Technically authoritative leader with deep expertise in mathematical optimization, hybrid ML+optimization techniques, and advanced AI technologies including Generative AI and quantum-inspired methods.

Experienced in designing and deploying scalable, production-ready AI/optimization solutions in healthcare or similarly complex regulated domains.

Proven ability to lead innovation, establish enterprise standards, and mentor high-performing technical teams while influencing multi-disciplinary stakeholders.