MLOps Engineer (Human)

Welcome to NEURA Robotics , the innovator of the robotics world. Our goal is to equip collaborative robots with groundbreaking cognitive capabilities to enable safe and intuitive collaboration with humans. Under the leadership of founder David Reger, we have spent the first years of NEURA Robotics laying the foundations for humans and robots to work hand in hand.

“We serve humanity” is not just a motto, but our mission. Become part of our ambitious, international company and shape the future of robotics with us.

Welcome to NEURA Robotics - where innovation meets team spirit.

Responsibilities

• Build and maintain CI/CD pipelines for AI model development
• Automate AI development workflows and model lifecycle management
• Implement monitoring, logging, and drift detection for production ML models
• Collaborate with cross-functional teams to integrate models into production environments
• Ensure security, compliance, and reproducibility in model operations

Qualifications

• Master’s degree in Computer Science, or related field
• 3+ years of experience in machine learning operations, DevOps, or software engineering
• Strong Python skills and experience with ML frameworks (e.g., PyTorch)
• Experience with Kubernetes, Docker, and CI/CD tools (Jenkins, GitHub Actions, GitLab CI)
• Experience with cloud platforms (AWS, Azure, or GCP) and modern MLOps tools (e.g., Weights & Biases, MLflow)
• Excellent problem-solving and debugging skills
• Ability to work independently and as part of a team
• You have a perfect command of the English language and, best of all, speak German well

What we offer

• Become part of an agile company, actively shape topics and benefit from flat hierarchies in a highly motivated team
• Enjoy an attractive salary, flexible working hours and 30 days of vacation
• The freedom to contribute your own ideas and drive them forward
• Celebrate successes together with company events
• Take advantage of our corporate benefits program
• And even more fun with great colleagues

Job details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Industries: Automation Machinery Manufacturing

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