MLOps Engineer II
Tasks
- Build machine learning services for production
- Deploy machine learning models
- Design data pipelines
- Develop deployment monitoring operations tools
- Maintain machine learning infrastructure reliability
- Optimize model performance
- Refine CI/CD workflows
- Review test and integrate software
- Set up model training validation evaluation
- Troubleshoot ML infrastructure
Perks/Benefits
- Development reimbursements
- Employee referral program
- Hybrid remote work
- Life and accidental insurance
- Maternity and parental leave
- Medical coverage
- Premium access
- Professional workshops
- Tech stipends
- Vacation and leaves of absence
- WFH stipends
Skills/Tech-stack
AWS | Azure | CI/CD | Data Pipelines | Docker | GCP | Integration Testing | Kubernetes | Linux | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | Model Training | Model Validation | Python | Unit Testing
Education
N/A
Roles
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