AI Data Scientist

Role & responsibilities

• Real time industry experience working in Data Science ecosystem, Machine Learning development.
• • Experience working on development of end-end AI application at an enterprise level, as well as testing and verifying AI applications
• • Strong experience with Python application development
• • Expertise in at least one Generative AI and LLM package, preferably Open AI models, otherwise in alternatives
• • Experience in prompt engineering, Retrieval-Augmented Generation (RAG) & fine-tuning.

Good-to-Have

• Familiarity with Data Science Life cycle development methodology DevOPs Principles, CI/CD pipelines, version control systems

• AI Safety principles, Data Governance principles and AI-related components.

• Machine Learning development using cloud platforms.