MLOps Engineer

Role Overview :

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.