Manager - data & AI engineer (H/F)
Tasks
- Build RAG pipelines
- Build data pipelines batch micro batch streaming
- Design agentic workflow architectures
- Design data lakehouse architecture
- Ensure data security and compliance
- Expose data for BI APIs and ML features
- Implement LLM observability
- Implement MLOps and LLMOps best practices
- Implement data observability for pipelines
- Implement data quality tests and monitoring
- Implement vector database solutions
- Industrialize AI and GenAI to production
- Lead data and AI platform architecture patterns
- Lead data engineering teams
- Manage data schemas and data contracts
- Manage prompts and model access security
- Mentor and grow consultants
- Orchestrate AI agent chains with business systems
- Package ML models and automate workflows
- Perform code reviews and technical guidance
- Serve as tech lead for data engineering
- Support data catalog lineage and access governance
- Transform business processes into agent workflows
Perks/Benefits
Skills/Tech-stack
AI Agent | AI agent orchestration | API Integration | Access Security | Agent Orchestration | BI | Batch Processing | Data Catalog | Data Compliance | Data Contracts | Data Engineering | Data Governance | Data Lake | Data Lakehouse | Data Lineage | Data Observability | Data Products | Data Quality | Data Warehouse | Data mesh | Generative AI | LLM Observability | LLMOps | MLOps | Machine Learning | Micro-batch | RAG | Streaming Data | Vector Database
Education
N/A
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