Job Description
We are seeking a Senior Full-Stack Machine Learning Engineer who thrives at the intersection of software engineering and data science. In this role, you will be the bridge between raw data and product impact. You won’t just be training models in a vacuum; you will be architecting the data pipelines that feed them and the production systems that serve them.
This is a hybrid role for a builder who thinks like a scientist. You will not only build the engines (ML Engineering) but also act as the navigator (Data Science), using data to tell us where the product should go next.
What You'll Do: Key Responsibilities
End-to-End ML Lifecycle: Design, develop, and deploy production-grade ML models using Python and Spark. You will own the full cycle from feature engineering to model monitoring.
Data Architecture & Pipelines: Build and maintain robust data pip...
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