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Senior Machine Learning Architect

MDA Edge

Role overview

Qualifications

  • 7+ years in applied ML/data science
  • Proven multi-dimensional forecasting (store-SKU/geo-segmented)
  • Deep Python proficiency
  • Experience in retail/supply chain domain preferred

Responsibilities

  • Architect end-to-end ML systems for high-dimensional retail demand modeling
  • Build production-grade Python-based ML pipelines with advanced forecasting
  • Design allocation and constrained optimization logic
  • Validate model performance via backtesting, live pilots, and controlled experiments

About the company

MDA Edge logo

MDA Edge

Business Consulting & Services

Our objective is to establish an exceptional ecosystem by connecting individuals, technology, and prospects through the application of human intelligence.MDA Edge is a process-oriented company and our expertise lies in providing comprehensive Workforce Solutions, specifically focusing on Contingent Staffing, Bulk/Project Staffing, RPO/KPO/BPO, and Direct Hire services. We cater to a wide range of industries, including Infrastructure Consulting, Engineering Consulting, IT Consulting, Healthcare, Life Sciences, Pharmaceutical Consulting, Consumer Goods, Education, Transportation & Logistics, Media & Entertainment, Telecom, BFSI, Manufacturing, Utilities & Energies, and Corporate Recruitment. Moreover, we have developed a dedicated focus on Government Consulting.Our company prides itself on a meticulous approach, ensuring that we meet your specific needs. We have established a robust network of highly skilled professionals who are readily available to fulfill your requirements. With a strong commitment to excellence, we consistently deliver exceptional results for clients in India, Denmark, France, Germany, Ireland, Japan, Spain, Thailand, the USA, Canada and Mexico, with ongoing expansion efforts to serve more new regions in the near future.We consistently uphold the highest standards of quality by providing resources, time, and materials to design, implement, and support efficient operations for organizations. Our track record of measurable accomplishments demonstrates our commitment to cultivating a balanced work and societal ecosystem.Our continuous growth, successful customer engagements, and strong customer retention exemplify our achievements. Furthermore, our passion lies in streamlining complex business processes through the application of suitable technology, which has been integral to our success.We extend an invitation to join our dynamic workplace, offering rapid growth opportunities, excellent employee benefits, and a positive work-life balance.

Company details

Company typeScaleup
IndustryBusiness Consulting & Services
Company size201 - 500

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Job description

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 flexible hours 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; modern 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.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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