Artificial Intelligence and Machine Learning Engineer

Chubb Group; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Benefits offered by this job

Hybrid Work Environment

Health and Welfare Benefits

Upskilling & Career Growth

Job summary

Chubb India is seeking an AI Engineer with 4+ years of industry experience to join the Data Analytics team. You will develop generative AI solutions, build pipelines, and design architectures to enable AI capabilities across the business.

You will work with data scientists to implement models on Azure, ensure code quality, and collaborate with IT and analytics peers to deliver impact.

Qualifications

• 3+ years of ML experience with production Python code.
• Experience with TensorFlow or PyTorch and NLP techniques.
• Experience building end-to-end ML/NLP systems on Azure.
• Able to design scalable data pipelines and APIs.
• Familiar with CI/CD and containerized deployments.

Responsibilities

• Collaborate with partners to gather requirements and data integrations.
• Build and test ML/NLP models to meet business goals on Azure.
• Research and apply state-of-the-art modeling approaches.
• Write high-quality, secure code and design data pipelines.
• Communicate findings effectively to stakeholders.

Skills

Python

TensorFlow/PyTorch

NLP

APIs

Docker/Kubernetes

CI/CD (Jenkins)

Azure platform

Communication

Education

Bachelor’s / Master’s degree in Statistics, Computer Science, Data Science, Engineering

Tools

FastAPI

Uvicorn

Docker

Kubernetes

Job description

AI/ML Engineer 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 43,000 people worldwide. Additional information can be found at: www.chubb.com .

About Chubb India At 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: Function/Department : Advanced Analytics Location : Bangalore, India Employment Type: Full-time

Role Overview – AI Engineer The Data Analytics team at Chubb is seeking a AI Engineer with 4+ years of industry experience to join our fast-paced, high-energy team. This team is responsible for delivering generative AI solutions to our business partners that will meet business objectives and move-the-needle to improve upon key performance metrics. As an AI Engineer for Data Analytics focusing on Generative AI capabilities, you will develop solutions to complex business problems which combine industry standard practices with innovation. You will focus on building pipelines and designing architecture to facilitate generative AI capabilities. This position offers exposure to a wide variety of analytic tools and technologies. Be ready to meet analytic challenges head-on as you develop and refine generative AI data processes for Chubb.

Responsibilities

• Collaborate with business partners and peers within the organization to understand and scope the problem, gather business requirements, and facilitate the data integration process.
• Work closely with team of data scientists to implement and test machine learning models to solve complex business challenges on Azure platform.
• Research & implement state of the art modelling approaches including but not limited to zero-shot/few-shot learning, embedding techniques, fine-tuning etc.
• Ensure high quality code that meets business objectives, quality standards and secure web development guidelines.
• Integrate with data / document sources using APIs and / or data pipelines.
• Create excellent working relationships with business partners across the Chubb organization, IT and Analytics peer groups.
• Effectively communicate with key stakeholders in written, oral and presentation formats.

Requirements

• 3+ years’ experience in Machine Learning (ML), with deep expertise in writing, and reviewing production code in Python.
• Knowledge of ML frameworks and libraries (such as TensorFlow/Pytorch), and exposure to various ML algorithms and their practical implementation in production at large scale.
• Experience with designing scalable end-to-end Machine Learning/NLP systems.
• Experience on distributed, high throughput and low latency architecture.
• Understanding of NLP techniques around text cleaning/pre-processing, entity extraction, encoder-decoder architectures, similarity matching etc.
• Experience building software on top of containerization technology (Kubernetes, Docker etc.), and familiarity with frameworks/tools such as FastAPI, Uvicorn.
• Familiarity with Continuous Integration tools such as Jenkins.
• Experience with architecting and consuming APIs in a scalable (multi-threaded/batched) fashion.
• Ability to multi-task, learn new things quickly, and have excellent problem solving & communication skills.
• A mindset for collaboration, knowledge sharing and keeping up to date on emerging industry trends.
• Appetite for learning and keeping up to date on the latest generative AI technologies and processes.

Preferred

• Comfortable with command line (Linux, Windows) scripting.
• Familiarity with Prompt Engineering.
• Familiarity with generative AI techniques, such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), or other generative models.

Nice to have

• Experience with at least one other programming language (R, Julia, Scala, Go, Java, C++).
• Exposure to technologies such as DBT, Apache AirFlow or Luigi.
• Working knowledge of containers, specifically Dockerizing APIs.
• Exposure to CI-CD pipelines.
• Comfortable with at least one NoSQL database (MongoDB, ElasticSearch, CosmosDB, etc.).

Education

• Bachelor’s / Master’s degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics or Engineering (advanced degree a plus).

Why Chubb?

Join Chubb to be part of a leading global insurance company! Our constant focus on employee experience along with a start-up-like culture empowers you to achieve impactful results.

Industry leader: Chubb is a world leader in the insurance industry, powered by underwriting and engineering excellence.

A Great Place to work: Chubb India has been recognized as a Great Place to Work® for the years 2023-2024 and 2024-2025.

Laser focus on excellence : At Chubb we pride ourselves on our culture of greatness where excellence is a mindset and a way of being.

We constantly seek new and innovative ways to excel at work and deliver outstanding results.

Start-Up Culture : Embracing the spirit of a start-up, our focus on speed and agility enables us to respond swiftly to market requirements, while a culture of ownership empowers employees to drive results that matter.

Growth and success : As we continue to grow, we are steadfast in our commitment to provide our employees with the best work experience , enabling them to advance their careers in a conducive environment.

Employee Benefits

Our company offers a comprehensive benefits package designed to support our employees’ health, well-being, and professional growth. Employees enjoy flexible work options, generous paid time off, and robust health coverage, including treatment for dental and vision related requirements. We invest in the future of our employees through continuous learning opportunities and career advancement programs, while fostering a supportive and inclusive work environment.

• Savings and Investment plans: We provide specialized benefits like Corporate NPS (National Pension Scheme), Employee Stock Purchase Plan (ESPP), Long-Term Incentive Plan (LTIP), 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 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.