Data / ML Ops Engineer

Job Title: Data/ML Ops Engineer Job Description: The backbone that keeps AI running. Manage data pipelines, model deployment, monitoring, and infrastructure automation to ensure reliable, scalable ML in production. Key Requirements: 4 years in DevOps, Data Engineering, or MLOps Strong experience with Docker, Kubernetes, and CI/CD (GitHub Actions, GitLab CI) Hands-on with MLflow, Kubeflow, Airflow, or Prefect Experience with cloud platforms (AWS, Azure, Google Cloud Platform) and IaC (Terraform,…