Lead II - MLOps
ripplehire
Job Description
- Design, implement, and manage scalable MLOps platforms and ML deployment pipelines.
- Develop automation and orchestration solutions using Python and Bash/Shell scripting.
- Administer and troubleshoot Linux environments supporting ML workloads.
- Build and maintain CI/CD pipelines for machine learning model deployment and lifecycle management.
- Automate model deployment, monitoring, retraining, and operational maintenance.
- Implement monitoring, logging, ing, and performance optimization for ML platforms.
- Collaborate with Data Scientists, AI Engineers, and Platform teams to streamline ML development and deployment.
- Ensure platform reliability, security, scalability, and operational excellence.
- Establish best practices for version control, governance, model promotion, and data management.
- Perform troubleshooting, root cause analysis, and production support for ML platforms.
- Mentor junior engineers through technical guidance, code reviews, and knowledge sharing.
- Drive technical standards, documentation, and continuous improvement across MLOps initiatives.