Manager - Data & AI engineer (H/F)
Tasks
- Automate MLOps workflows
- Build and manage vector databases
- Build data pipelines
- Define data and AI platform patterns
- Define modern data architectures
- Design RAG pipelines
- Design agent orchestration architectures
- Design and evolve data and AI platforms
- Ensure data access security and compliance
- Implement LLM observability
- Implement LLMOps practices
- Implement data governance and lineage
- Implement data observability
- Implement data quality testing and monitoring
- Industrialize AI and GenAI use cases
- Lead and coordinate client missions
- Lead data engineering technical reviews
- Manage prompts security and model calls
- Package and deploy machine learning models
- Provide technical leadership and mentorship
- Support business development and pre-sales
- Transform business processes into agent workflows
Perks/Benefits
Skills/Tech-stack
APIs | AWS | Access Control | Azure | BI | Batch Processing | Cloud Computing | Data Architecture | Data Catalog | Data Engineering | Data Governance | Data Lake | Data Lineage | Data Observability | Data Pipelines | Data Products | Data Quality | Data mesh | Databricks | Dataiku | ELT | ETL | GCP | GenAI | LLM security | LLMOps | Lakehouse | MLOps | Machine Learning | Microbatch processing | Model Deployment | Observability | Orchestration | Prompt engineering | RAG | Snowflake | Streaming | Tech Lead | Vector Database
Education
N/A
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