MLOps Engineer
Volunteer role managing the end-to-end lifecycle of machine learning models, from automated pipelines to production monitoring. The posting notes that volunteer opportunities are currently unpaid and future paid employment is not guaranteed.
Responsibilities
- Build automated pipelines for model training, testing, deployment, and monitoring.
- Work with data scientists to optimize model deployment and production integration.
- Create tests for model performance and monitor model drift.
- Manage model artifacts, track experiments, and implement rollback strategies.
- Improve pipeline performance and reliability while meeting security standards.
Requirements
- Bachelor's or master's degree in computer science or a related field.
- Experience with CI/CD, version control systems, and container orchestration.
- Strong programming skills in Python and machine learning frameworks.