GEN AI NVIDIA Engineer

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.

• Professional 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