Machine Learning Engineer*

- 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