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.

    • Responsibilities:

  • 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....

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