Skills and Attributes:

- Educational Background
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related discipline.

- Professional Experience
- 410 years of hands-on experience in Artificial Intelligence, Machine Learning, Data Science, or Generative AI with strong 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 up-to-date 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.
- Strong 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.

📌 GEN AI Nvidia Engineer (Bengaluru)
🏢 EY
📍 Bengaluru