Machine Learning Engineer (L3)

Build foundational AI/ML capabilities that enable personalized, context-aware customer engagement at scale.

Lead rapid research cycles and design rigorous experiments on LLM orchestration, data-driven personalization, and contextual intelligence.

Develop and deploy production-grade ML systems for real-time inference as part of a fast-moving product with rapid adoption.

5+ years of applied ML/AI experience with ownership of end-to-end technically ambitious systems.

Proficiency in Python and experience building cloud-based ML services on AWS, GCP, or Azure handling high-volume data and streaming inference.

Deep expertise in production-grade ML/AI system design including LLM orchestration, embedding models, vector stores, and statistical machine learning fundamentals.

Role is remote based in India (Karnataka, Tamil Nadu, Telangana, Maharashtra, or New Delhi); occasional travel may be required.

Experience operating in ambiguous 0-to-1 product development environments with bias for action and technical leadership without formal authority.

Strong background in transformer models, LLMs, and state-of-the-art retrieval and personalization methods.

Prior exposure to autonomous agents with multi-turn conversations and predictive user behavior modeling including advanced experiment design and causal inference methods.