Développeur GenAI
Tasks
- Apply governance principles (bias, privacy, transparency)
- Collaborate with data scientists to productionize prototypes
- Containerize and deploy models in production
- Create ETL data ingestion pipelines
- Implement automated MLOps pipelines
- Manage model and data versions
- Monitor models for drift and alerts
- Write optimized prompts and evaluate models
Perks/Benefits
Skills/Tech-stack
AI Foundry | API Integration | APIs | AWS Bedrock | Agent AI | Autogen | Azure AI | Azure AI Foundry | Backend integration | CI/CD | Chainlit | Communication skills | CrewAI | DVC | Data Science | Distributed Systems | Docker | Drift monitoring | GCP Vertex | GCP Vertex AI | GDPR | Google ADK | Huggingface | Java | JavaScript | Kubernetes | LLMs | Langgraph | MLflow | Microservices | Model Drift | Model Packaging | Model drift monitoring | Multi-Agent | Multi-Agent AI | N8n | Open Source | Open-source Models | OpenAI | Pandas | Prompt engineering | Python | REST | React | Streamlit | Vertex AI
Education
Roles
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