Overview
The Machine Learning Engineer will contribute to an ongoing AI workspace project for a global education organization, working collaboratively within a dynamic and agile delivery team. This hands-on role involves extending internal tooling and integrating intelligent document management capabilities, with an emphasis on end-to-end processes from data architecture to deployment.
Responsibilities
- Develop and maintain project-specific workspace functionality, including file storage and metadata management.
- Integrate UI features such as collapsible sidebar navigation.
- Build or integrate SharePoint or cloud-based file environments with permissioned repositories.
- Establish a pre-defined library for document deployment, such as finance or operational materials.
- Implement basic access controls, validation, and testing processes.
Requirements
- Strong proficiency in Python with experience in machine learning deployment and MLOps tooling.
- Understanding of SharePoint and its integration capabilities.
- Experience with Azure or similar cloud-based storage solutions.
- Proven ability in building document or knowledge management systems.
- Capacity to work autonomously, taking ownership from design to delivery.