DevOps (MLOps), Python Developer

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. Ensure code quality, security, and performance standards across DevOps and ML operations.

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; Ensure code quality, security, and performance standards across DevOps and ML operations

Requirements

B.E/B.Tech

Nice to have

Streamlit; TypeScript; Angular; React