Lead Data Scientist

• 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