Principal AI Engineer 0426
Tasks
- Architect AI platform capabilities
- Automate operational processes
- Build end-to-end data pipelines
- Deploy and monitor machine learning models
- Design and optimize data storage solutions
- Develop backend services and APIs
- Ensure performance scalability uptime
- Guide architecture for distributed systems and microservices
- Incorporate emerging AI ML advancements
- Integrate UI components
- Integrate platform components with messaging and identity providers
- Maintain system documentation
- Manage model lifecycle with versioning testing and observability
- Partner with data scientists for production systems
- Provide technical mentorship
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | AWS | Agile | Azure | CI/CD | Caching | Data Governance | Data Privacy | Data Processing | Data Security | Distributed Systems | Docker | Encryption | Graph Databases | Identity Providers | Incident Response | Java | Kubernetes | MLOps | Machine Learning | Machine learning deployment | Message Queues | Microservices | NoSQL | Observability | PyTorch | Python | REST | Relational databases | SQL | TensorFlow | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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