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