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Salary
≈ $25k – $66k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Principal · 8+ years exp

Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Oct 26, 2026. Chubb scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Chubb is the largest publicly traded property and casualty insurer in the world, formed in 2016 when ACE acquired the older Chubb Corporation and took its name. It writes commercial property and casualty, specialty lines, high net worth personal insurance, accident and health cover and reinsurance across more than fifty countries, and it is known in the industry for underwriting discipline and for walking away from business it considers underpriced. Headquartered in Zurich with major operations in New York and Philadelphia, it is listed on the New York Stock Exchange.
  • 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.

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

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