Manager - Data & AI engineer (H/F)
Tasks
- Automate MLOps and LLMOps workflows
- Build RAG pipelines
- Build data pipelines batch micro batch and streaming
- Design agentic workflows architecture orchestrators agents and integrations
- Design data and AI architectures
- Develop business through prospecting and bid responses
- Expose data for BI APIs and ML features
- Implement LLM observability
- Implement data contracts and data observability
- Implement data quality tests monitoring schema management
- Industrialize AI and GenAI use cases from PoC to production
- Lead mission delivery and stakeholder coordination
- Manage and grow data engineering teams
- Manage vector databases
- Package and deploy ML models
- Provide technical leadership for data engineering squads
- Secure model API calls
- Set up data governance catalog lineage access security
Perks/Benefits
Skills/Tech-stack
AI Act | APIs | Access Control | BI | Batch Processing | Data Catalog | Data Contracts | Data Engineering | Data Governance | Data Lake | Data Lineage | Data Monitoring | Data Observability | Data Products | Data Quality | Data Warehouse | Data mesh | Feature Engineering | Generative AI | LLM Observability | LLMOps | Lakehouse | MLOps | Machine Learning | Micro-batch | Micro-batch processing | Prompt management | RAG | Retrieval-Augmented Generation | Security | Streaming Data | Vector Database
Education
N/A
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