MLOps Engineer
Tasks
- Deploy models in production
- Diagnose and resolve deployment issues
- Ensure compliance with regulations
- Establish model versioning and lineage standards
- Implement security practices
- Manage and optimize ML models
- Optimize resource utilization
- Propose process improvements
- Set up monitoring systems
Perks/Benefits
- Development days
- Flexible benefits
- Hybrid working
- Insurance discounts
- Pension scheme
- Performance bonus
- Retail discounts
- Volunteering days
Skills/Tech-stack
Azure Machine Learning | CD pipelines | CI/CD | CI/CD pipelines | Docker | Git | Kubernetes | Lineage Tracking | ML deployment | Machine Learning | Model Performance Monitoring | Model performance | Model versioning | Performance Monitoring | Python | Regulatory Compliance | Resource Optimization | Security practices
Education
Roles
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