Data Science and Engineering Professional

About Chubb

Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides 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.

Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index.

Chubb employs approximately 40,000 people worldwide.

Additional information can be found at: www.chubb.com.

About Chubb India

We are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics.

We are proud to share that we have been officially certified as a Great Place to Work for the third consecutive year, a reflection of the culture at Chubb where we believe in 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.

We offer an environment where you will be part of an organization 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.

Position Details

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

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.

• Main Responsibilities:
• Collaborate with data scientists, model developers, software engineers, and other stakeholders to translate business needs into technical solutions.
• 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.

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 your well-being in and out of work.

Our comprehensive benefits package includes Hybrid Work Environment, Employee Assistance Program (EAP), Yearly Free Health campaigns and robust Insurance benefits.

We also provide Savings and Investment plans, Upskilling and career growth opportunities, and Education Reimbursement Programs.

Submit your application via the link below and engage with our recruitment team for an initial discussion.

Please note that our recruitment process is designed to be transparent and inclusive.