Consultant·e Agentic & GenAI Engineer – Jeune diplômé·e (H/F)
Tasks
- Build multi-agent systems
- Conduct GenAI technology research
- Deploy GenAI platforms on cloud
- Deploy GenAI solutions
- Design GenAI solutions
- Develop AI agents
- Ensure AI security compliance and governance
- Implement LLMOps pipelines
- Implement MLOps pipelines
- Implement monitoring and observability
- Orchestrate multi-agent workflows
Perks/Benefits
- Career growth
- Collaborative environment
- Mentorship
- Technical projects
- Training opportunities
- Wellbeing accommodations
Skills/Tech-stack
Agent systems | Airflow | Amazon Web Services | Azure | Batch Processing | CI/CD | Cloud platform | Data Governance | Data Lake | Data Pipelines | Data Quality | DevOps | Embeddings | Google Cloud | Google Cloud Platform | Kafka | LLMOps | Lakehouse | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Monitoring | Multi-Agent | Multi-Agent Systems | Observability | Python | RAG | RGPD | Security | Semantic Kernel | Spark | Streaming | Vector Databases | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | GenAI Engineer | Learning Engineer | Machine Learning Engineer
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