Data Scientist

Role Summary:

• We are looking for a Data Scientist for a project who has a strong understanding of processing and analyzing data using LLMs, along with solid prompt engineering skills. Experience with Agentic AI frameworks or LLM-based data processing approaches would also be highly beneficial.

Key Responsibilities

:
• Developing and Implement solutions that leverage LLMs to process, analyze, and extract insights from structured and unstructured data or document

s.• Develop and optimize prompt engineering strategies to improve the accuracy, consistency, and reliability of LLM output

s.• Build AI-driven workflows using Agentic AI frameworks to automate data processing and reasoning task

s.• Evaluate and experiment with different LLM models, embeddings, and retrieval techniques to determine the best approach for TRACE use case

s.• Ensure data quality, scalability, and performance of AI-based processing pipeline

s.
Hands-on Technical Skil

ls:
• Strong hands-on experience with Python for data processing and AI developm

ent.• Experience working with LLM APIs (such as Azure OpenAI, or Lam

ma).• Practical experience with prompt engineering, prompt tuning, and evaluation of LLM outp

uts.• Experience with RAG (Retrieval-Augmented Generation) architecture and vector databases (e.g., FAISS, Pinecone, Azure AI Sear

ch).• Knowledge of Agentic AI frameworks such as Semantic Kernel, or similar orchestration framewo

rks.• Experience in data preprocessing, NLP techniques, and handling large datas

ets.• Familiarity with REST APIs, data pipelines, and integrating AI models with enterprise applicati

ons.• Understanding of model evaluation, monitoring, and optimization techni