DevOps (MLOps), Python Developer
Core
Design and maintain infrastructure for machine learning model development, deployment, monitoring, and versioning while managing CI/CD pipelines.
Role type
DevOps/MLOps Engineer
Builds
Production ML models and automated ML workflows
Domain
Machine Learning Operations / Software Engineering
Deliverable
production ML models
Required skills
Python, CI/CD pipeline management, model deployment, model monitoring, version control, infrastructure management, code optimization
Preferred skills
Frontend development (Streamlit, TypeScript, Angular, React)
Responsibilities
Develop and implement DevOps and MLOps practices including model deployment and monitoring; 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
Seniority
Mid-level (3-5 years)