AI Engineer
Tasks
- Build RAG and embeddings pipelines
- Create AI agents and assistants
- Deploy solutions on cloud platforms
- Design machine learning and LLM models
- Develop AI automation algorithms
- Ensure security and regulatory compliance
- Fine-tune and evaluate models
- Implement MLOps and LLMOps pipelines
- Industrialize models using CI CD
- Orchestrate multi-agent workflows
- Set up monitoring and observability
Perks/Benefits
Skills/Tech-stack
AIOps | AWS | Azure | CI/CD | Cloud platform | Compliance | Docker | Embeddings | FastAPI | Flask | Git | GitHub | GitLab | Google Cloud | Google Cloud Platform | LLMOps | Langchain | Language Models | Large Language Models | MLOps | Machine Learning | Monitoring | Observability | Python | RAG | RGPD | Security | Semantic Kernel | Streamlit
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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