Senior AI MLOps Engineer, Education Services
Job Description: • Develop and deliver interactive training sessions on NVIDIA’s AI and MLOps platforms, focusing on software, support, and operational guidelines. • Create innovative training materials—including lab exercises, presentations and content aligned with evolving NVIDIA software and support offerings. • Collaborate with product and domain authorities to shape new support modules and joint training plans for enterprise customers and authorized learning partners (ALPs). • Support real-time solving, learner engagement, and technical guidance during workshops. • Work closely with lab manager and course developers to optimize training environments for software-specific labs. Requirements: • Bachelor’s degree in computer science, engineering, or related domain, or equivalent experience. • 12+ years of professional experience, with a minimum of 2 years dedicated to AI software or MLOps environments. • Technical proficiency in: Linux, containerization (Kubernetes, Docker), orchestration tools, cloud environments • Hands-on experience with AI Tools, GPU Operator, ML frameworks (CUDA, RAPIDS, PyTorch, TensorFlow), and NVIDIA software stack. • Proven ability to communicate complex concepts to diverse audiences. • Strong English written and verbal communication skills. Benefits: • equity • benefits Apply tot his job