Senior MLOps Engineer, Deep Learning Algorithms

Requirements:

• BSc or MSc degree in Computer Science, Computer Architecture, or related technical field, or equivalent experience
• 5+ years of work experience in software development
• Excellent Python programming skills
• Knowledge and love for DevOps/MLOps practices
• Experience in architecture and system design
• Strong experience in setting up, maintaining, and automating continuous integration systems
• Willingness to take action and strong analytical skills
• Strong time-management and organization skills
• Algorithms and AI fundamentals
• Good communication and documentation habits

Nice to Haves:

• Solid understanding of Linux environments
• Experience with containerization technologies such as Docker
• Hands-on experience creating integration, delivery, and deployment pipelines for ML/DL products
• Familiarity with large-scale distributed computing systems and cloud platforms
• Experience with HPC-based compute clusters and scheduling solutions like Slurm

What You'll Be Doing:

• Automating and optimizing testing of Deep Learning models from different data domains
• Developing shared utilities for setting up systems, running tests, and recording results
• Configuring, maintaining, and building upon deployments of industry-standard tools
• Being part of the architecture and design decisions for backend, infrastructure, and software release
• Leading best practices for building, testing, and releasing software
• Identifying infrastructure needs and translating them into action
• Building tools for automatic content generation mechanisms

Perks and Benefits:

• NVIDIA is widely considered one of the most desirable employers
• Equal opportunity employer that values diversity
• Creative and autonomous work environment