Skills and Attributes:
Educational Background
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related discipline.
Candidates from Tier-1 engineering institutions are preferred.
Skilled Experience
4–10 years of hands-on experience in Artificial Intelligence, Machine Learning, Data Science, or Generative AI with robust Python programming skills.
Solid understanding of Machine Learning, Deep Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), model fine-tuning, and Agentic AI.
Experience working with Azure, AWS, or GCP and modern AI engineering, deployment, and MLOps/LLMOps practices.
Hands-on exposure to NVIDIA AI technologies such as NeMo, NIM, RAPIDS, GPU computing, inference optimization, or similar AI infrastructure is highly desirable.
Solid analytical thinking, problem-solving ability, debugging skills,



and a research mindset with a passion for continuous learning.
Product mindset with the ability to build reusable, production-grade AI capabilities rather than one-off project solutions.
Excellent communication and collaboration skills with the ability to work effectively in cross-functional teams.
Soft Skills
Strong analytical and problem-solving capabilities.
Excellent communication and stakeholder management skills.
Ability to translate complex business requirements into scalable technical solutions.
Robust collaboration skills across engineering, product, and business functions.
Commitment to engineering excellence, continuous learning, and innovation

Preferred Certifications
NVIDIA GenAI and LLM focused, AI/ML

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📌 Gen Ai Nvidia Engineer Pune (India)
🏢 EY
📍 India