Manager - Data & AI engineer (H/F)
Tasks
- Build data pipelines batch microbatch and streaming
- Contribute to Data and AI offering development
- Define data quality and data observability practices
- Design and operate RAG pipelines
- Design data and AI platform architectures
- Implement MLOps and LLMOps workflows
- Implement data governance and access security
- Implement vector database integrations
- Industrialize AI and GenAI and BI from PoC to production
- Lead AI agent workflow architecture
- Lead delivery of high impact client missions
- Manage and develop consulting teams
- Orchestrate AI agent chains with business systems
- Perform technical code reviews and architecture tradeoffs
- Secure model API calls
- Set up LLM observability and prompt management
- Support pre-sales and bid responses
Perks/Benefits
- Career development
- Mobile work flexibility
- Smart working
- Support for workplace accommodations
- Training and certifications
Skills/Tech-stack
AI Agents | AI Governance | APIs | Access Control | Architecture | BI | Batch Processing | Cloud | Data Contracts | Data Engineering | Data Governance | Data Lake | Data Lineage | Data Observability | Data Pipelines | Data Products | Data Quality | Data Warehouse | Data mesh | Features engineering | GenAI | Generative AI | LLMOps | Lakehouse | MLOps | Machine Learning | Microbatch | Observability | Prompt engineering | RAG | Responsible AI | Streaming | Tech Leadership | Vector Database
Education
N/A
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