AI Software Engineer

About Chubb

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.

We are defined by our extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Our parent company is listed on the New York Stock Exchange (NYSE) and is a component of the S&P 500 index. We employ 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 our culture 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.

Job Details

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

Role Overview

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.

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 care about your well-being and provide a comprehensive benefits package designed to support your health, career growth and professional development. Our benefits include:

• Savings and Investment plans: We provide specialized benefits like Corporate Pension Scheme, Employee Stock Purchase Plan, Long-Term Incentive Plan, Retiral Benefits and Car Lease that help employees optimally plan their finances.
• Upskilling and career growth opportunities: With a focus on continuous learning, we offer customized programs that support upskilling like Education Reimbursement Programs, Certification programs and access to global learning programs.
• Health and Welfare Benefits: We care about your physical and mental well-being and have benefits like Hybrid Work Environment, Employee Assistance Program, Yearly Free Health campaigns and comprehensive Insurance benefits.

Application Process

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 our leadership team.