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Senior Principal AI/ML Engineer

BengaluruOn-siteStaff/Principal

Recently posted - highest visibilityPosted 8h ago

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The post's words + ASAI's data
  • On-site in Bengaluru.

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  • 8+ years asked. Machine Learning Engineer roles in Bengaluru usually ask 4-8; a third ask 8+.

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  • No pay range in the post.

  • Not a repost. None of Chubb's last 23 posts was; 10 of its 20 open roles are here.

  • 128 Machine Learning Engineer roles posted in Bengaluru this week, 1,364 open. See them →

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The job post

242 words · from Chubb's careers site

  • 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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