FBS MLOps Engineer Manager
Tasks
- Apply code management governance
- Collaborate with cross-functional teams
- Deploy machine learning models
- Deploy machine learning pipelines
- Ensure high availability
- Fix production bugs
- Implement machine learning pipelines
- Implement real-time inference
- Ingest and preprocess data
- Integrate pipelines with CI CD
- Maintain machine learning models
- Maintain models in production
- Mentor and coach engineers
- Monitor machine learning models
- Optimize machine learning pipelines
- Provide production support
- Recruit and hire team members
- Supervise direct reports
- Train machine learning models
- Validate machine learning models
Perks/Benefits
- Career development
- Comprehensive benefits
- Flexible work arrangements
- Paid time off
- Pension plan
- Private health insurance
- Remote work
- Training and development
Skills/Tech-stack
Automated testing | CI/CD | Code Management | Data Ingestion | Data Preprocessing | DevOps | High Availability | Java | Low Latency | MLOps | Machine Learning | Model Deployment | Model Monitoring | Model Training | Model Validation | Production Support | Python | Real Time | Real-time Inference | Scalable systems | TypeScript
Education
N/A
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