Machine Learning Engineer*
Summary
Build and deploy ML pipelines, APIs, and secure data platforms while containerizing and optimizing models for cloud and edge inference.
- Apply version control code reviews and documentation
- Build CI/CD pipelines
- Build end to end ML training pipelines
- Build secure data platforms
- Collaborate with internal users
- Containerize components
- Deploy and package models for inference
- Design REST APIs for ML services
- Develop internal tools and web UIs for ML workflows
- Ensure data security, privacy, and compliance
- Implement unit integration and performance tests
- Integrate data platforms
- Maintain and troubleshoot ML tooling in production
- Optimize models for inference
- Serve models in cloud
- Serve models on edge
Perks/Benefits:
- Flexible international working environment
- Hybrid working
- Laptop
- Long-term development opportunities
- Mobile phone
- Modern office and testing facilities