• MLOps
• Machine Learning Pipelines
• CI CD
• Model Monitoring
• Cloud ML Platforms

Designs and maintains end-to-end machine learning pipelines for training, deployment, and monitoring.
Collaborates with data scientists to productionize ML models using MLOps best practices.
Builds CI/CD pipelines and automates ML workflows using cloud-native tools.
Implements monitoring, logging, and performance optimization for deployed models.
Ensures scalable, reliable, and cost-efficient ML infrastructure.