Senior/Staff AI Engineer
TRY 780K-960K (estimate) Senior-level Full Time
Tasks
- Build MLOps pipelines for model lifecycle management
- Build RAG systems
- Create API services for AI models
- Deploy AI/ML models to production
- Design production AI ML solutions
- Develop data pipelines and feature engineering processes
- Ensure scalability and reliability of AI systems
- Implement LLM solutions with prompt engineering
- Monitor deployed models
- Optimize model performance
Perks/Benefits
- Birthday leave policy
- Company paid professional certificates
- Flexible time off
- Learning and development
- Online training access
- Private health insurance
- Remote work
Skills/Tech-stack
AWS | Azure | Clean Code | Cloud platform | Data Engineering | Docker | FastAPI | Feature Engineering | Google Cloud | Google Cloud Platform | Kubernetes | LLMs | Langchain | Llamaindex | MLOps | MLflow | NumPy | Pandas | Prompt engineering | PyTorch | Python | RAG | SageMaker | Scalable architectures | Scikit-learn | TensorFlow | Vertex AI
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Staff AI Engineer
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