Job Description & How to Apply Below
Responsibilities
Build end-to-end ML pipelines, focusing on personalization, recommendation, and ranking models.
Design, execute, and analyze A/B and multivariate experiments.
Collaborate cross-functionally to translate complex data insights into actionable product strategies.
Qualifications
B.Tech/M.S. in Computer Science with strong statistical and ML foundations.
3–6 years of experience developing and deploying ML models ficient in Python and handling large structured/unstructured datasets (PySpark/Spark/Hive preferred).
Thrives in a fast-paced, high-ownership environment.
Ready to build ML systems that impact millions? Let's connect.
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