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
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Ai Machine Learning Mlops Pytorch