ML Ops Engineer $$$$

We are looking for an ML Ops Engineer who will be responsible for building and maintaining infrastructure for ML systems in production.

What you will do

• Deploy and maintain ML systems in production
• Work with model serving frameworks and ensure their stable operation
• Operate and scale GPU workloads
• Set up and maintain MLOps processes (model registry, experiment tracking, deployment automation)
• Use infrastructure-as-code approaches to manage infrastructure
• Write and maintain Python code

What we expect

• 3+ years of experience in ML Ops, Platform Engineering, or SRE for ML systems
• Experience with model serving frameworks (vLLM, TGI, Triton, or similar)
• Strong experience with containerization and orchestration, including GPU workloads
• Hands-on experience with MLOps tools (model registries, experiment tracking, deployment automation)
• Proficiency in Python
• Experience with infrastructure-as-code

Nice to have / Important

• Ability to effectively use AI coding assistants for rapid prototyping, debugging, and refactoring
• Strong engineering judgment and the ability to maintain high standards when using AI tools