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 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 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.
- 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.

- Soft Skills
- Strong analytical and problem-solving capabilities.
- Excellent communication and stakeholder management skills.
- Ability to translate complex business requirements into scalable technical solutions.
- Strong 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

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