MLOps Engineer

Key Responsibilities • Design, build, and maintain end-to-end MLOps pipelines for model training, testing, deployment, and monitoring. • Automate ML workflows using CI/CD best practices. • Deploy and manage machine learning models in production environments. • Develop scalable data and model pipelines on cloud platforms. • Monitor model performance, data drift, and system health. • Collaborate with data scientists to productionize ML models. • Implement model versioning, experiment tracking, an…