Senior Principal AI/ML Engineer

• 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