MLOps Engineer (human)

Your mission & challenges

• Build and maintain CI/CD pipelines for AI model development
• Automate AI development workflows and model lifecycle management
• Manage infrastructure (Kubernetes, Docker, cloud ML services)
• 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

What we can look forward to

• 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