Description

4-6 years of hands on Core AI/ML Foundations:
o Strong foundational knowledge in GenAI , Machine Learning (ML
modeling), Data Science, Statistics, and AI fundamentals, including
Natural Language Processing (NLP), Neural Networks, and Large
Language Models (LLMs).
· Generative AI & LLM Expertise:
o Extensive hands-on experience with leading LLMs such as Google
Gemini, OpenAI models, Anthropic Claude, Mistral, Llama, and various
other open-source LLMs.
o Critical: Deep working knowledge and hands-on experience with
Retrieval-Augmented Generation (RAG) pipelines, including advanced
RAG techniques and their detailed implementation.
o Proven ability to build, tune, and deploy LLM-based applications using
platforms like Vertex AI, Hugging Face, etc.
o Expertise in developing robust prompt engineering strategies, prompt
tuning, and creating reusable prompt templates.
o Hands-on experience with agentic framework-based use case
implementation.
o Working knowledge of Guardrails and methodologies for assessing the

performance and safety of GenAI features

Key Skills

Education

Bachelor's degree