MLOps Engineer: Perception & Foundation Models

Zendar is looking for an MLOps Engineer to join our Paris office and build and own the infrastructure that makes it possible to train and deploy perception models at scale. The role involves defining, owning, and building the operational backbone that enables research engineers to train, iterate, and ship perception models. The successful candidate will work on perception foundation models that enable robots to understand and interact with their environments across a wide range of industries.

Requirements

• 5+ years in MLOps, ML infrastructure, or a closely related role
• Hands-on experience training ML models end-to-end
• Proficient in Python and PyTorch
• Familiarity with CI/CD pipelines
• Experience with Docker and container optimization for GPU workloads
• Experience with distributed training orchestration tools
• Experience building and maintaining large-scale data pipelines
• Strong instincts for observability, monitoring, and failure recovery

Benefits

• Competitive salary
• Hybrid work model
• Modern Workspace
• Transportation/Commute benefits
• Subsidized meal vouchers
• Wellness Pass
• Opportunity to make an impact at a young company in an emerging market