Manager - Data & AI engineer (H/F)
Tasks
- Add LLM observability
- Apply data governance catalog lineage and access security
- Automate model and workflow operations
- Build RAG pipelines
- Build data pipelines batch microbatch streaming
- Collaborate with data and AI platform teams
- Define architecture patterns and development standards
- Design agent orchestration architectures
- Design data and AI architectures
- Expose data via BI APIs and ML features
- Implement MLOps and LLMOps practices
- Implement data schema management and data contracts
- Implement vector database solutions
- Industrialize AI GenAI and BI use cases from PoC to production
- Integrate agent workflows with business systems via APIs
- Lead data engineering technical work
- Manage prompts and secure model calls
- Package machine learning models
- Set data quality tests and monitoring
- Support AI Act compliance
Perks/Benefits
Skills/Tech-stack
AI Agents | APIs | Access Security | BI | Batch Processing | Cloud Computing | Data Architecture | Data Catalog | Data Contracts | Data Engineering | Data Governance | Data Lake | Data Lineage | Data Monitoring | Data Pipelines | Data Products | Data Quality | Data Warehouse | Data mesh | Generative AI | LLMOps | Lakehouse | MLOps | Machine Learning | Micro-batch | Micro-batch processing | Observability | Orchestration | Prompt engineering | RAG | Retrieval-Augmented Generation | Schema management | Streaming Data | Vector Database
Education
N/A
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