Job Summary: We are looking for Senior ML Architect for a remote contract role to design and deploy a production-grade ML system optimizing store-SKU level model stock distribution across 1,200+ stores and ~300 SKUs. You will operate as a senior individual contributor, translating business goals like reduced stockouts and sales lift into scalable, containerized solutions. The position offers adaptable schedule in a global timezone (CST-aligned), 40 hours/week from March 2 to June 30, 2026 (120 days), based in India Remote (Bengaluru). Key Responsibilities:
Architect end-to-end ML systems for high-dimensional retail demand modeling, incorporating regional, demographic, climate, historical sell-through, promotional, and behavioral signals.
Build production-grade Python-based ML pipelines with advanced forecasting (hierarchical time-series, gradient boosting, hybrid approaches).
Design allocation and constrained optimization logic to convert forecasts into actionable model stock targets.
Validate model performance via backtesting, live pilots,



and controlled experiments to prove incremental lift.
Engineer feature pipelines, deploy containerized solutions, and create repeatable retraining/calibration processes.
Collaborate cross-functionally to define measurable outputs from ambiguous requirements and document methodologies for executive review.

Key Requirements:
Experience: 7+ years in applied ML/data science; proven multi-dimensional forecasting (store-SKU/geo-segmented); demand forecasting/inventory optimization/retail analytics; production deployment in containerized environments; whiteboard-to-deployment track record.
Skills: Deep Python proficiency; contemporary ML frameworks; handling large structured datasets at scale.
Preferred: Retail/supply chain domain; hierarchical time-series forecasting; allocation/optimization on forecasts; A/B testing frameworks; consulting/startup experience in ambiguity.

📌 Senior Machine Learning Architect Bengaluru
🏢 Macpower Digital Assets Edge Private
📍 Bengaluru