Cutting Edge Data Scientist

We are 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.

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

Our company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE) and is a component of the S&P 500 index. Chubb employs approximately 40,000 people worldwide.

At our company, we are committed to engineering excellence and analytics. We have been officially certified as a Great Place to Work for the third consecutive year. Our culture is focused on fostering an environment where everyone can thrive, innovate, and grow.

With a team of over 2500 talented professionals, we encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape.

Our organization is at the forefront of digital transformation in the insurance industry. We offer an environment where you will be part of a team that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning.

We are seeking a talented and passionate Machine Learning Engineer with 4 to 10 years of experience to join our team and play a pivotal role in developing and deploying cutting-edge machine learning solutions. 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.

We care about our employees' well-being in and out of work and have benefits like Hybrid Work Environment, Employee Assistance Program (EAP), Yearly Free Health campaigns and comprehensive Insurance benefits.

Our recruitment process is designed to be transparent and inclusive. Step 1: Submit your application via our 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.

With you, our company is better. Whether you are solving challenges on a global stage or creating innovative solutions for local markets, your contributions will help shape the future. If you value integrity, innovation, and inclusion, and are ready to make a difference, we invite you to be part of our journey.