Brilo AI
Machine Learning Engineer
- Compensation
- Not disclosed
- Location
- Remote
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Ml / AI
- Posted
Skills
Must have
- 5+ years of professional Python development experience.
- Strong problem-solving and debugging skills.
- Excellent written and verbal communication.
- Self-starter with close attention to detail.
- Comfortable reviewing code, writing documentation, and mentoring peers.
- Ability to understand and manage complex system interactions.
Nice to have
- Experience with:
- Deploying open-source LLMs on Azure (e. g., HuggingFace Transformers, Llama.cpp, etc. ).
- FastAPI, GraphQL, or similar modern Python frameworks.
- Docker, Kubernetes, and containerized deployments.
- CI/CD pipelines and release automation.
- Sentry, Prometheus, or other observability platforms.
Full description
We're looking for a seasoned Machine Learning Engineer with a strong background in event-driven architecture, real-time systems, and AI/LLM integration. You'll be responsible for architecting and implementing high-performance, distributed systems with dynamic functionality, real-time processing, and seamless AI model interaction. This role is perfect for someone passionate about deep Python internals and building intelligent infrastructure at scale.
Responsibilities:
- Design and develop scalable, distributed systems using Python.
- Build and maintain LLM/AI integration pipelines (OpenAI, Azure OpenAI, open-source models).
- Develop real-time communication systems (text/voice over WebSockets).
- Create dynamic function registration and runtime execution frameworks.
- Implement robust error handling, monitoring, and logging systems.
- Write clean, modular, and well-documented code following best practices.
- Collaborate with cross-functional teams on system architecture and performance tuning.
Requirements:
- 5+ years of professional Python development experience.
- Strong problem-solving and debugging skills.
- Excellent written and verbal communication.
- Self-starter with close attention to detail.
- Comfortable reviewing code, writing documentation, and mentoring peers.
- Ability to understand and manage complex system interactions.
Expertise in:
- Advanced Python: decorators, metaclasses, async/await, etc.
- Asynchronous programming with asyncio.
- Event-driven architecture and WebSocket communication.
- Dynamic function registration and runtime execution.
- Dependency injection and context management patterns.
- Type hints, Pydantic, and runtime type enforcement.
Deep understanding of:
- OpenAI / Azure OpenAI API integration.
- Real-time communication protocols.
- API design (REST, GraphQL optional).
- Error handling in distributed systems.
- Logging and monitoring (e. g., Sentry, custom metrics).
- Testing strategies (unit, integration, mocking async flows).
Nice to Have:
- Experience with:
- Deploying open-source LLMs on Azure (e. g., HuggingFace Transformers, Llama.cpp, etc. ).
- FastAPI, GraphQL, or similar modern Python frameworks.
- Docker, Kubernetes, and containerized deployments.
- CI/CD pipelines and release automation.
- Sentry, Prometheus, or other observability platforms.