Data Science trainee

Job Description
AI Engineer

Chubb - Bangalore

Chubb is looking for an AI
Engineer
to join our fast-paced, high-energy team responsible for delivering bleeding edge solutions leveraging AI. This position offers the opportunity to be part of our AI engineering team in delivering high quality AI products.

Major Responsibilities

• Work closely with team of data scientists to design, build, and test machine learning models to solve complex business challenges.
• Researching & implementing state of the art modeling 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.
• Building reusable tools to streamline the modeling pipeline and sharing knowledge.
• Manage project stakeholder expectations and issue communications on progress.
• React to shifting priorities without compromising deadlines and momentum.

Qualifications
Minimum Requirements and Qualifications

• Must have:

• 8+ years' experience in Machine Learning (ML), with deep expertise in writing, and reviewing production code in Python.

• Experience with LLM tooling and frameworks like LangChain, LlamaIndex etc.
• Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
• 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.

• Nice to have:

• Experience defining system architectures and exploring technical feasibility trade-offs is a huge plus.

• Experience in NLP feature engineering and SoTA modeling techniques, such as transformers (e.g., BERT , GPT) is a huge plus.
• Familiarity with end-to-end application development using full stack is a plus.
• Experience in P&C insurance is a plus

Why Chubb Business Services India?
Here Are Some Reasons To Join Us

• You will be joining a group of diverse and driven professionals trained to succeed in today's insurance landscape.
• We provide the opportunity to cultivate a robust career; we accommodate your growth and development even as we expect you to make meaningful contributions to our company.
• We offer competitive compensation and benefit programs. We pride ourselves in being a meritocracy that rewards the best talent.
• We seek to create an inclusive environment where employees of different cultures and backgrounds can thrive.

Our Company And Culture
Chubb Business Services India focuses on building strong capability in the areas related to technology, CAT modeling, risk management, actuarial services and advanced analytics. The culture we would like to establish would align with the core principles of the organization as outlined below with the desire to transform and grow together.

Our culture reflects a commitment to craftsmanship and as craftspeople, we adhere to certain ideals:

• A Can-Do Attitude – we are optimistic about our future and we have an enthusiasm to serve our customers and business partners with utmost speed and energy. We approach our work with passion – people want to live their lives with meaning. We have a shared vision to build something great – to serve society and leave the world a little better place because we've been here.
• Excellence in All We Do – we hold ourselves to exacting standards of technical proficiency. Customers can count on us to pay claims fairly and quickly. Agents and brokers can rely on us for attention to detail and help them build their businesses
• Constant Improvement – we are a learning organization. We are constantly searching for ways to improve our craft. We relentlessly pursue data-driven insights to drive better, smarter decision-making – our portfolio management efforts, for example.

Global Reach and Local Expertise
– we apply our craft locally all around the world. We appreciate differences in culture, history and geography. And this enables us to adapt accordingly to best serve diverse customers, markets and distribution