Manager - Data & AI engineer (H/F)
Tasks
- Apply data contracts and data observability
- Build RAG pipelines
- Build data pipelines batch micro batch streaming
- Define architecture patterns and development standards
- Deploy ML and GenAI use cases to production
- Design Data Lakehouse architectures
- Design agent orchestration architectures
- Develop vector database solutions
- Implement LLM observability tools
- Implement MLOps and LLMOps best practices
- Implement data quality tests monitoring schema management
- Integrate agent systems with business APIs
- Lead data engineering technical reviews
- Manage prompts security for model calls
- Package models and automate model workflows
- Provide data governance catalog lineage access security compliance
- Set up data and AI platforms
Perks/Benefits
- Career development
- Flexible work options
- Great Place to Work recognition
- Mobile work
- Training and certifications
Skills/Tech-stack
AI Agents | API Integration | Access Security | Batch Processing | Data Catalog | Data Contracts | Data Engineering | Data Governance | Data Lake | Data Lakehouse | Data Lineage | Data Observability | Data Pipelines | Data Products | Data Quality | Data mesh | Generative AI | LLMOps | MLOps | Machine Learning | Micro-batch | Micro-batch processing | Model Packaging | RAG | Streaming | Tech Lead | Vector Database
Education
N/A
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