About us:
We are a highly successful 190-year-old, Fortune 500 commercial property insurance company of 6,000+ employees with a unique focus on science and risk engineering. Businesses worldwide trust our expertise to protect their assets, relying on our comprehensive risk assessments and robust, engineering-based insurance solutions to safeguard against fire, natural disasters, and other perils. Serving over a quarter of the Fortune 500 and major corporations globally, we deliver data-driven strategies that enhance resilience, ensure business continuity, and empower organizations to thrive.

FM India is a strategic location for driving our global operational efficiency. Our presence in India allows us to leverage the country’s talented workforce and advance our capabilities to serve our clients better. We have diverse corporate functions that emphasize research, advanced technologies like AI and analytics, risk engineering, research, finance, marketing, HR, etc. working together to provide creative solutions and nurture lasting relationships – from co-workers to clients.





Role Title: Principal Machine Learning Engineer
Job Summary:
Principal Machine Learning Engineer with deep Databricks expertise who can architect and productionize Data Science solutions, drive ML engineering best practices, and effectively partner with MLOps teams to ensure reliable production deployment and support. This role plays a pivotal role in the Data Science team, responsible for designing, developing, and deploying advanced machine learning solutions that address complex business challenges in the property insurance domain. This role emphasizes end-to-end technical ownership of ML projects, from ideation through production, and requires close collaboration with cross-functional teams including Data Scientists, ML Ops Engineers, and Data Engineers. The role also contributes to mentoring junior team members to foster technical excellence and innovation.

KEY RESPONSIBILITIES:
• Expert-l

📌 Principal Machine Learning Engineer (Bengaluru)
🏢 Fm
📍 Bengaluru