AI Platform Engineer

📋 Description Architect and manage Kubernetes clusters for AI/ML workloads. Implement Run:ai and GPU scheduling operators. Develop Python automation scripts and ML pipelines. Automate infrastructure provisioning with Terraform and Ansible. Establish MLOps practices for lifecycle, CI/CD, and monitoring (MLflow). Create and manage Jupyter Notebooks for experimentation. 🎯 Requirements Strong Python proficiency and ML frameworks (TensorFlow, PyTorch). Kubernetes and container orchestration experience. Familiarity with Run:ai or similar GPU scheduling platforms. Terraform and Ansible for infrastructure automation. Experience with Jupyter Notebooks for ML development. MLOps tools (MLflow, Kubeflow) and model lifecycle. 🎁 Benefits Comprehensive health insurance coverage. Paid time off and holidays. Flexible work arrangements. Learning and development opportunities. Employee wellness initiatives. Retirement and statutory benefits.