Data & Ml Ops Engineer

Gravis Robotics

Zurich, Switzerland
On-site
Lidar sensor data ingestion
Real-time model training pipelines
Edge computing infrastructure
Gravis Robotics is seeking a Data & ML Ops Engineer to support the development and operation of infrastructure for machine learning in autonomous heavy construction machinery. The role involves collaboration across multiple teams to ensure efficient model training and deployment, crucial for the company's innovative approach to robotics

Job Summary

  • Gravis Robotics is a startup transforming heavy construction machines into intelligent autonomous robots using learning-based automation.
  • The Data & ML Ops Engineer will drive the development and operation of infrastructure supporting the full ML lifecycle from edge to production.
  • This role sits at the intersection of Platform, Autonomy, and Perception teams to enable high-velocity ML development and deployment.

Matching Summary

Match Score: 85

Gravis Robotics is seeking a Data & ML Ops Engineer to support the development and operation of infrastructure for machine learning in autonomous heavy construction machinery. The role involves collaboration across multiple teams to ensure efficient model training and deployment, crucial for the company's innovative approach to robotics.

Skills & Requirements

Must-have

  • LiDAR sensor data ingestion
  • Real-time model training pipelines
  • Edge computing infrastructure
  • Continuous model deployment at scale
  • Cross-functional team collaboration

Nice-to-have

  • Gamified environment experience
  • Heavy construction machinery knowledge
  • Augmented remote control systems
  • Large-scale robotics deployments
  • Learning-based automation expertise

Key Requirements

  • Experience with LiDAR and camera sensor data
  • Proficiency in building scalable ML infrastructure
  • Background in real-time control systems

Work Rights

Not specified

Tailored Resume

Cover Letter