Found Description
Job Description
You design, implement, test, deploy, and maintain data- and model-centric systems that deliver production-grade ML functionality. Typical tasks span:
Machine Learning Engineering
- Build end-to-end ML training pipelines (ingestion, validation, transformation, training, evaluation)
- Deploy, optimize and package models for inference
- Support the platform team to serve models in cloud
- Support the ai runtime team to serve models on edge/sorters
- Participate in data and model centric research and innovation
Data Management
- Build, integrate and maintain secure data platforms (e.g., SQL/NoSQL warehouses, object storage, feature stores)
- Ensure data security, privacy, and compliance
Service & ML Tooling
- Design and implement REST APIs to expose ML services and data platform functionality
- Develop and maintain internal tools and web-based UIs that support ML wor...