Ai Engineer
Tasks
- Apply MLOps for monitoring and versioning
- Build AI services and APIs on Azure
- Build vector databases and retrieval systems
- Containerize and deploy AI solutions
- Design data pipelines for training and inference
- Develop genai applications
- Implement anomaly detection models
- Implement machine learning models for predictive analytics
- Integrate AI into industrial and enterprise systems
- Monitor LLM app evaluation and observability
Perks/Benefits
- Compensated certificates
- Flexible time off
- Health insurance
- Language lessons
- Learning lunches
- Learning opportunities
- Loyalty days
- Pet-friendly office
- Recognition
- Remote work
- Seasonal activities
- Team building
- Travel as needed
Skills/Tech-stack
AKS | Anomaly Detection | Azure Functions | Azure OpenAI | CI/CD | DevSecOps | Distributed Systems | Docker | Grafana | Kubernetes | LLM | Langchain | Langgraph | Llamaindex | MLOps | MLflow | Model Monitoring | Observability | Predictive Analytics | Prometheus | Python | RAG | Retrieval-Augmented Generation | Vector Databases | Vector Search
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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