MLOps Engineer

We are looking for a skilled MLOps Engineer to design, deploy, and manage scalable machine learning pipelines in production. The role focuses on enabling seamless integration of ML models into enterprise systems with reliability, automation, and governance. Key Responsibilitie • sDesign and implement end-to-end ML pipelines from data ingestion to model deploymen • tBuild and manage CI/CD pipelines for ML models (training, testing, deployment • )Automate model monitoring, retraining, and performance optimizatio • nCollaborate with Data Scientists and Data Engineers for productionizing ML model • sEnsure scalability, reliability, and security of ML system • sManage model versioning, experiment tracking, and lifecycle managemen • tImplement best practices for governance, compliance, and reproducibilit y Key Skills & Experti • seStrong programming skills in Pyth • onExperience with ML frameworks: TensorFlow, PyTorch, Scikit-lea • rnHands-on experience with MLOps tools: MLflow, Kubeflow, Airflow, SageMaker, Azure • MLKnowledge of CI/CD tools: Jenkins, GitHub Actions, GitLab • CIExperience with cloud platforms: A • WSStrong understanding of data pipelines, ETL processes, and distributed syste ms