Senior AI/ML Engineer
Tasks
- Build agentic workflows
- Build and deploy services with Docker
- Build real-time data systems
- Deploy AI services to cloud platforms
- Design and develop RESTful APIs
- Design chatbot UIs with React
- Develop WebSocket based communication
- Develop asynchronous Python services
- Develop generative AI solutions
- Implement with LangChain
- Implement with LlamaIndex
- Integrate LLMs and chatbot interfaces
- Manage code with Git
- Use Pydantic for data validation
- Work in Linux and WSL environments
- Write unit tests with mocks
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic Workflows | Asynchronous programming | Asyncio | Chatbots | Cloud platform | Data Systems | Docker | Generative AI | Git | Google Cloud | Google Cloud Platform | HTTP | Langchain | Language Models | Large Language Models | Linux | Llamaindex | Microsoft Azure | Mocking | Next.js | Open Source | Open-source LLMs | Pydantic | Python | REST APIs | React | Real Time | Real-time Data | Real-time data systems | Unit Testing | Version control | WSL | WebSockets
Education
N/A
Roles
AI/ML Engineer | Engineer | ML Engineer | Senior AI/ML Engineer
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