DevOps (MLOps), Python Developer
Summary
Develops and maintains DevOps and MLOps pipelines for machine learning model deployment, monitoring, and versioning using Python, CI/CD, and cloud infrastructure.
**Key Responsibilities:**
- Develop and implement DevOps and MLOps practices including model deployment, monitoring, and versioning
- Design and maintain infrastructure for machine learning model development and implementation
- Write and optimize Python code for ML development and production environments
- Manage CI/CD pipelines and automation for ML workflows
- Monitor and troubleshoot deployed models in production environments
- Collaborate with data science and engineering teams on model lifecycle management
- Implement version control and reproducibility practices for ML models
- Develop frontend applications using Streamlit, TypeScript, Angular, or React (preferred)
- Ensure code quality, security, and performance standards across DevOps and ML operations
B.E/B.Tech
3-5