Ingénieur / ingénieure Data – IA Générative
EUR 60K-70K (estimate) Senior-level Full Time
Tasks
- Build data pipelines (ETL/ELT)
- Build generative AI data pipelines
- Collaborate on MLOps and LLMOps
- Coordinate stakeholders and prioritize backlog
- Design data and AI architecture
- Develop AI assistant and chatbot solutions
- Document data flows and models
- Ensure data quality, traceability, governance
- Ensure data security and compliance RGPD
- Handle incidents and ensure service continuity
- Implement RAG architectures
- Implement batch and streaming pipelines
- Integrate and orchestrate LLMs
- Manage vector databases and embeddings
- Model data for AI use cases
- Monitor and maintain pipelines in production
- Optimize costs with FinOps
- Track performance KPI
- Transform data for analytics and AI
Perks/Benefits
- Career development support
- Diversity inclusion agreements
- Employee share participation
- Health insurance
- Paid time off
- RTT days
- Telework up to 2 days per week
- Training budget
Skills/Tech-stack
AWS | AWS Bedrock | Azure DevOps | CI/CD | Copilot Studio | DBT | Data Lake | Data Warehouse | Docker | ELT | ETL | Embeddings | Huggingface | LLM | LLMOps | Lambda | MLOps | Microsoft Copilot | Microsoft Copilot Studio | NumPy | Ollama | OpenSearch | Pandas | Power BI | Python | RAG | RGPD | S3 | SQL | Snowflake | Snowflake Cortex | Snowpark | Stream processing | Talend | Vector Databases
Education
Roles
AI | AI Engineer | Data Engineer | Engineer
Regions
Countries
States
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