Principal ML Engineer

About this role

About Signify

Through bold discovery and cutting-edge innovation, we lead an industry that is vital for the future of our planet: lighting. Through our leadership in connected lighting and the Internet of Things, we're breaking new ground in data analytics, AI, and smart solutions for homes, offices, cities, and beyond.

At Signify, you can shape tomorrow by building on our incredible 125+ year legacy while working toward even bolder sustainability goals. Our culture of continuous learning, creativity, and commitment to diversity and inclusion empowers you to grow your skills and career.

Join us, and together, we’ll transform our industry, making a lasting difference for brighter lives and a better world.

More about the role

We are looking for an MLOps Lead - Principal ML Engineer to lead the design, engineering and productionization of enterprise ML, GenAI and agentic AI platforms for Signify Advanced Analytics. The role will own end-to-end ML engineering across AWS and Snowflake, from data pipelines, model training and deployment to monitoring, governance, reliability, cost control and reuse across markets and business functions. The successful candidate will combine hands-on ML engineering depth with platform thinking, agentic AI architecture, LLMOps, technical leadership and strong stakeholder communication.

You’ll be part of the Signify’s AI & Advanced Analytics team, based in Bangalore.

What you’ll do

• Build and operate GenAI and agentic AI systems using RAG, embeddings, vector search, prompt chaining, tool-using agents, multi-agent orchestration and guardrails.
• Lead ML engineering and MLOps for Advanced Analytics, including architecture, delivery standards, reusable patterns, platform adoption and production support.
• Own productionization of ML and GenAI solutions across forecasting, marketing mix modeling, customer segmentation, contract intelligence, IoT analytics and enterprise copilots.
• Design and implement scalable ML pipelines acro...