Apply MLOps best practices for model versioning and reproducibility
Build end-to-end machine learning pipelines
Contribute to code reviews documentation and technical discussions
Deploy monitor and optimize ML workloads in AWS
Design machine learning and AI models
Develop Python automation for test suites and workflow orchestration
Ensure stable build environments with CMake and Bazel
Integrate machine learning pipelines into CI CD pipelines
Troubleshoot build, deployment, and performance issues