Manager - Data & AI engineer (H/F)
Tasks
- Add LLM observability and monitoring
- Build RAG pipelines
- Build data pipelines batch microbatch and streaming
- Define data platform architecture patterns
- Design agent orchestration architectures
- Design data lake and lakehouse architectures
- Develop BI and API data exposure
- Implement MLOps and LLMOps workflows
- Implement data quality tests and monitoring
- Implement vector databases
- Integrate AI agents with business systems and APIs
- Lead data engineering technical reviews and code review
- Lead delivery and coordinate stakeholders
- Manage and grow consulting teams
- Manage prompts and model security
- Operationalize ML and GenAI from PoC to production
- Set up data contracts and data observability
- Support data governance catalog lineage access security and compliance
- Support pre-sales and bid responses
Perks/Benefits
- Career model
- Flexible work and mobile work
- Further training
- Great Place to Work recognition
- Smartworking
Skills/Tech-stack
AI Agents | Access Control | BI | Batch Processing | Compliance | Data Catalog | Data Contracts | Data Engineering | Data Governance | Data Lake | Data Lineage | Data Products | Data Quality | Data Warehouse | Data mesh | DevOps | GenAI | LLMOps | Lakehouse | MLOps | Machine Learning | Microbatch processing | Observability | Orchestration | Prompt engineering | RAG | REST API | Retrieval-Augmented Generation | Streaming | Vector Database
Education
N/A
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