Data Science Engineer

Overview

The role will work in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML and GenAI solution in support of ML / AI projects using big analytics toolsets in a CI / CD environment. Analytics toolsets may include DS tools / Spark / Databricks along with LLM frameworks like LangChain / LlamaIndex, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Machine Learning Services and Pipelines.

Responsibilities

Understand the existing Proof of concepts that were built to showcase capability of LLMs to deliver the accurate response to any natural query.,Scale and translate the PoC code into Production scale through industry wide accepted best practices.,Optimise the cost incurred to compile a response to given query by finding the best and cost effective alternatives.

Qualifications

We need who has worked on applications that leverages Large language models and make the user experience faster, better and stronger. Also a well seasoned data scientist with fair experience in API and backend development (using accelerators like FastAPI and AsyncIO).

Skills Required

Machine Learning, Artificial Intelligence, Pipelines, Spark, Databricks, Microsoft Azure, FastAPI