Build, train, evaluate, and deploy machine learning models in production environments Manage complete ML lifecycle including data collection, preprocessing, feature engineering, and model training Deploy and monitor models using MLOps tools and frameworks Design and maintain scalable MLOps pipelines and processes Implement model monitoring and performance tracking using observability tools Handle model retraining and continuous improvement strategies Work with big data systems for processing and analytics Collaborate with cross-functional teams in Agile environments Ensure model governance, versioning, and reproducibilit