Job Description
Job Description Role Mission: To accelerate the delivery of AI/ML prototypes into production by writing clean, testable code and building scalable data pipelines. Accountabilities:
- Code Quality & Delivery: Own the delivery of well-documented, unit-tested features for AI-powered applications.
- Data Pipeline Stability: Ensure the reliability of data ingestion and preprocessing workflows feeding into ML models.
- Model Integration: Bridge the gap between data science notebooks and production APIs/services.
- Design, develop, and maintain backend services and APIs to serve machine learning models in production.
- Write efficient code to transform, clean, and aggregate large datasets for model training and inference.
- Collaborate with Data Scientists to refactor prototype code (Python/notebooks) into production-ready modules.
- Implement logging, monitorin...