Machine Learning Developer

About us

We are a world leader in insurance with operations in 54 countries and territories. Our extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally make us a trusted partner for diverse clients.

Our company is defined by its 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 of fostering an environment where everyone can thrive, innovate, and grow.

We encourage collaboration, diverse perspectives, and solution-driven attitudes among our team of over 2500 talented professionals. We empower them to excel in a dynamic digital landscape by building 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. Together, we work to shape the future through innovation and continuous learning.

Job Details

• Job Title: Data Science Engineer
• Function/Department: Technology
• Location: Hyderabad/Bangalore/Bhubaneshwar
• Employment Type: Full Time

Role Overview

We seek a talented and passionate Data Science 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.
• 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 is a plus.
• Knowledge of machine learning algorithms and libraries (e.g., TensorFlow, PyTorch) is a plus.
• Stay up-to-date on the latest advancements in machine learning and contribute to ongoing innovation within the team.

Why Join Us?

• 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.

Benefits

We offer a comprehensive benefits package designed to support your health, well-being, and professional growth. Our employees enjoy flexible work options, generous paid time off, and robust health coverage. We invest in the future of our employees through continuous learning opportunities and career advancement programs, while fostering a supportive and inclusive work environment.

Application Process

Our recruitment process is designed to be transparent and inclusive. We invite you to submit your application via our Careers Portal and engage with our recruitment team for an initial discussion. If applicable, you may participate in HackerRank assessments/technical/functional interviews and assessments. Finally, you will have a final interaction with Chubb leadership.