Business analyst

Design, develop, and deploy end-to-end AI/ML solutions leveraging Large Language Models, focusing on Retrieval-Augmented Generation systems.

Lead advanced prompt engineering and establish testing frameworks to ensure LLM application performance, accuracy, and safety.

Work with large datasets to source, clean, and prepare data for both traditional ML and advanced LLM applications, translating complex findings into actionable insights for stakeholders.

4-6 years of hands-on experience in AI, ML, or data science roles.

Strong foundation in classical ML algorithms (e.g., Gradient Boosting, XGBoost, Clustering) and practical applications.

Deep, hands-on experience building Retrieval-Augmented Generation (RAG) pipelines with Large Language Models (LLMs).

Bachelor’s degree or equivalent in a quantitative field such as Computer Science, Statistics, Engineering, or Mathematics.

Experienced in designing autonomous AI systems using agentic AI principles to solve complex business problems.

Proficient in advanced prompt engineering, LLM evaluation, and testing methodologies within fast-evolving AI environments.

Capable of working effectively in cross-functional matrix teams, communicating complex AI/ML concepts to both technical and non-technical stakeholders.