Remote Machine Learning Engineer
Understanding Recruitment
Overview
You will build scalable, production-grade AI systems and bring ML models from notebooks into real-world applications. You’ll work on backend services and APIs, ensuring reliable, maintainable deployment of ML models. The role emphasizes strong software engineering fundamentals, practical ML tooling, and end-to-end production responsibilities. This is a hands-on opportunity to shape real-world AI applications in a production environment. Note: visa sponsorship is not available and the role focuses on delivery and reliability over research.
Responsibilities- Develop backend services and APIs for ML-powered features
- Deploy, monitor and maintain ML models in production
- Design scalable, reliable software architectures for AI systems
- Ensure code quality, testing, and CI/CD practices
- Collaborate with teams to integrate ML into production workflows
- Strong commercial Python experience
- Experience with FastAPI, Flask or Django
- Hands-on deployment of ML models in production
- Familiarity with PyTorch, TensorFlow or scikit-learn
- Experience with AWS, GCP or Azure, Docker and CI/CD
- Understanding of scalable systems, testing and clean architecture
- collaboration
- problem-solving
- communication
- Python
- FastAPI/Flask/Django
- ML model deployment
Reference: WJ-747_31291916 · Posted 13 Nov 2026, 04:58 AM