AI Engineer (m/w/d)
Tasks
- Apply governance for models
- Build data pipelines
- Continuously improve AI systems
- Develop inference infrastructure
- Develop machine learning models
- Develop training infrastructure
- Docker & containerization
- Ensure model quality
- Implement APIs integration
- Implement CI/CD for models
- Implement MLOps practices
- Implement access control integration
- Implement event-based integrations
- Implement machine learning models
- Implement model observability
- Implement model rollback mechanisms
- Integrate AI solutions with IT systems
- Monitor AI systems
- Select algorithms and frameworks
- Set up model testing strategies
- Translate business requirements into technical solutions
- Version machine learning models
Perks/Benefits
Skills/Tech-stack
APIs | Authentication | CI/CD | Data Pipelines | Deep learning | Docker | Event Driven | Event-driven architecture | LLMOps | Logging | MLOps | Machine Learning | Monitoring | Observability | Python | REST APIs | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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