Machine Learning Engineer
Cary, North Carolina, United States
USD 114K-171K (estimate) Senior-level Full Time
Tasks
- Build ML training evaluation and inference pipelines
- Collaborate to productionalize ML models
- Deploy ML models to production systems
- Develop tooling and infrastructure for ML lifecycle
- Improve reliability scalability and performance of ML systems
- Monitor and troubleshoot production ML systems
- Write production ready maintainable and tested code
Perks/Benefits
- Career development and mentoring programs
- Community volunteering
- Employee Peer Recognition
- Flexible time off
- Health insurance
- Hybrid work
- Paid parental leave
Skills/Tech-stack
API Development | AWS | Azure | CI/CD | Cloud platform | Data Pipelines | Distributed Systems | Git | Google Cloud | Google Cloud Platform | MLOps | Machine Learning | Model Monitoring | PyTorch | Python | Scikit-learn | TensorFlow
Education
Regions
Countries
States
Cities
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