The New York Times
ML Ops Engineer, Machine Learning & AI
New York, NYFrom $130kmidAdded 2 days ago
About this role
The New York Times is seeking an MLOps Engineer to enhance its machine learning infrastructure, supporting real-time ML models to improve user experience for its global audience. The role involves collaborating with data scientists and engineers to automate the ML lifecycle, ensuring efficient deployment and monitoring of models.
What you'll do
- Automate ML pipelines for training and deployment
- Productionalize ML models for low-latency services
- Implement monitoring for model performance and data drift
- Manage MLOps tooling and infrastructure
- Collaborate with data scientists and engineers
- Enforce MLOps best practices for governance
What they're looking for
- Software engineering or DevOps experience
- Proficient in Python or Go
- Experience with CI/CD pipelines
- Containerization and orchestration skills
- Cloud platform knowledge (AWS, GCP)
- Infrastructure-as-code familiarity
- MLOps tools experience (preferred)
- Data processing frameworks knowledge (preferred)
Benefits
- [unknown]
- [unknown]
- [unknown]
- [unknown]
- [unknown]
- [unknown]
Opens the official application on the employer’s site. No login required.