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.

• 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 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.