Machine Learning Engineer
Tasks
- Architect backend services for AI applications
- Build data pipelines for intelligent workflows
- Design APIs and microservices for LLM integration
- Develop monitoring logging and observability
- Ensure backend reliability performance and security
- Implement infrastructure for AI agents orchestration and state management
- Integrate knowledge retrieval with vector databases
- Translate product requirements into scalable backend solutions
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS | Agent Orchestration | Azure | Cloud platform | Data Pipelines | Distributed Systems | Docker | Event Driven | Event-driven architecture | Google Cloud | Google Cloud Platform | Hugging Face | Hugging Face Transformers | Knowledge Retrieval | Kubernetes | LLM | Langchain | Language Models | Large Language Models | Llamaindex | Logging | Machine Learning | Microservices | Monitoring | NoSQL | Observability | PyTorch | Python | SQL | State management | TensorFlow | Tool-Calling | Vector Databases
Education
Regions
Countries
States
Cities
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