Insurance Industry Expertise

Chubb is a world leader in insurance, with operations in 54 countries and territories. We provide commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients.

The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Chubb employs approximately 40,000 people worldwide.

At Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. We have been officially certified as a Great Place to Work for the third consecutive year, reflecting our culture that fosters innovation and growth.

We encourage a start-up mindset that promotes collaboration, diverse perspectives and a solution-driven attitude. Our team of over 2500 talented professionals empowers expertise in engineering, analytics and automation.

We offer an environment where you will be part of an organization dedicated to solving real-world challenges in the insurance industry.

Position Details:

• Job Title: Machine Learning Engineer / Lead ML Engineer
• Function/Department: Technology
• Location: Hyderabad/Bangalore/Bhubaneshwar
• Employment Type: Full Time

Seeking a talented and passionate Machine Learning Engineer with 4-10 years experience to join our team. You will work closely with other engineers and data scientists to bring machine learning models from proof-of-concept to production, ensuring they deliver real-world impact and solve critical business challenges.

• Collaborate with data scientists, model developers, software engineers and other stakeholders to translate business needs into technical solutions.
• Experience of having deployed ML models to production
• Create high performance real-time inferencing APIs and batch inferencing pipelines to serve ML models to stakeholders.
• Integrate machine learning models seamlessly into existing production systems.
• Continuously monitor and evaluate model performance and retrain the models automatically or periodically.
• Streamline existing ML pipelines to increase throughput.
• Identify and address security vulnerabilities in existing applications proactively.
• Design, develop and implement machine learning models for preferably insurance-related applications.
• Well-versed with Azure ecosystem.
• Knowledge of NLP and Generative AI techniques. Relevant experience will be a plus.
• Knowledge of machine learning algorithms and libraries (e.g., TensorFlow, PyTorch) will be a plus.
• Stay up-to-date on the latest advancements in machine learning and contribute to ongoing innovation within the team.

• Be at the forefront of digital transformation in the insurance industry.
• Lead impactful initiatives that simplify claims processing and enhance customer satisfaction.
• Work alongside experienced professionals in a collaborative, innovation-driven environment.

Our comprehensive benefits package includes flexible work options, generous paid time off, robust health coverage, continuous learning opportunities and career advancement programs.

Employee Benefits:

• Savings and Investment plans: Corporate NPS, Employee Stock Purchase Plan, Long-Term Incentive Plan, Retiral Benefits and Car Lease.
• Upskilling and career growth opportunities: Education Reimbursement Programs, Certification programs and access to global learning programs.
• Health and Welfare Benefits: Hybrid Work Environment, Employee Assistance Program, Yearly Free Health campaigns and comprehensive Insurance benefits.

• Step 1: Submit your application via the careers portal.
• Step 2: Engage with our recruitment team for an initial discussion.
• Step 3: Participate in HackerRank assessments/technical/functional interviews and assessments (if applicable).
• Step 4: Final interaction with leadership.