About the Role:

We are looking for an MLOps Engineer with 3+ years of experience to build, deploy, and maintain scalable machine learning pipelines and production ML systems. The ideal candidate should have hands-on experience with cloud platforms, CI/CD, containerization, and ML model deployment.

Key Responsibilities:

- Design and maintain ML training, validation, and deployment pipelines.
- Automate CI/CD workflows for ML models.
- Deploy, monitor, and manage ML models in production.
- Implement model versioning and performance monitoring.
- Collaborate with Data Scientists and Software Engineers.
- Manage cloud infrastructure and containerized applications.

Tech Stack:

- 3+ years of experience in MLOps or DevOps.
- Experience with Docker and Kubernetes.
- Hands-on experience with AWS, Azure, or GCP.
- Knowledge of CI/CD tools (GitHub Actions, GitLab CI, or Jenkins).
- Familiarity with MLflow, Kubeflow, or similar MLOps tools.
- Experience with Git and Linux.

📌 pi-labs.ai - MLOps Engineer (India)
🏢 pi-labs
📍 India