DevOps (MLOps), Python Developer

Job Description

**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

Qualifications

B.E/B.Tech

Additional Information

3-5