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Tier-1 employer, mid-level ML role in metro with broad CV and production requirements increases applicant competition.
Role demands specialized ML and computer-vision e-commerce experience, so cross-industry transferability is limited.
Requires advanced degree options, explicit years, and ML/programming/production experience, so filters are strict.
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Build and deploy ML models for automated returns grading, computer vision-based defect and fraud detection, and disposition routing to optimize recovery value and customer experience in India's returns network.
Adapt global ReCommerce ML models for India’s specific data, catalog, and operational realities including retraining and recalibration.
Own the full ML lifecycle including problem framing, data processing, model training, evaluation, deployment, and cross-functional collaboration with engineering, product, and operations teams.
3+ years building models for business applications.
PhD or Master's degree with 4+ years experience in Computer Science, Computer Engineering, Machine Learning, or related field.
Proficiency in programming languages such as Java, C++, or Python.
Experience in algorithms, data structures, numerical optimization, data mining, or related computational fields.
Experience working in ML-driven, large-scale, operational business environments with measurable financial and customer impact.
Capability to manage end-to-end ML projects including adapting complex models to new, region-specific data and operational constraints.
Comfort collaborating closely across engineering, product, and operations to deploy models and drive real-world outcomes in a fast-growing, India-specific recommerce context.