Sr Software Engineer, MLOps
Tasks
- Build model registry
- Build model serving systems
- Create CI CD systems for AI services
- Create reusable platform patterns
- Deploy production machine learning models
- Implement deployment rollback
- Implement monitoring and operational workflows
- Improve reliability of AI launches
- Increase repeatability of AI launches
- Optimize cost efficiency
- Optimize latency
- Partner to productionize AI at scale
- Standardize evaluation workflows
- Standardize model and prompt versioning
- Standardize release workflows
- Standardize training workflows
Perks/Benefits
- 24/7 medical hotline
- 401k employer match
- Employee discounts
- Employee resource groups
- Flexible paid time away
- Medical/dental/vision/life insurance
- Paid Holidays
Skills/Tech-stack
CI/CD | Cloud Monitoring | DVC | Dataset versioning | Deployment Automation | Feature versioning | Git | Infrastructure as Code | Learning platform | Machine Learning | Machine learning platform | Model Registry | Observability | Python | Validation | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Engineer | MLOps Engineer | Senior MLOps | Senior MLOps Engineer
Regions
Countries
States
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