Jobs → Engineering → MLOps/AI Platform Engineer

About the Role We are looking for an MLOps/AI Platform Engineer to join our team. This role focuses on building and maintaining production-grade ML/LLM platforms. Key Responsibilities • Build and maintain production-grade ML/LLM platforms • Develop ML pipelines for training, deployment, and monitoring • Implement automated CI/CD workflows • Manage Kubernetes-based workloads and cloud infrastructure • Optimize GPU utilization and LLM inference performance • Enable model monitoring, drift detection, and retraining Requirements • 6+ years of experience in MLOps and AI platform development • Strong Python development skills • Experience with Kubernetes and AWS • Knowledge of ML lifecycle management • Familiarity with CI/CD and GitOps • Experience with PyTorch and TensorFlow • Understanding of ML model deployment and monitoring • Experience with LLMs, Generative AI, and GPU infrastructure • Familiarity with Kubeflow, MLflow, and Airflow