Ml Engineer, Demand And Supply Planning

Intel Retiree Medical Plan Trust

Bangalore, India
On-site
Machine learning models for forecasting
Integrate ml models with planning platforms
Mlops best practices
Drive digital transformation in demand forecasting and supply planning by optimizing global supply chain processes

Job Summary

  • Drive digital transformation in demand forecasting and supply planning by optimizing global supply chain processes.
  • Design, develop, and deploy end-to-end Machine Learning models for forecasting demand, optimizing supply, and improving inventory allocation.
  • Collaborate with planning and business teams to translate complex business problems into viable ML solutions and measurable outcomes.

Matching Summary

Drive digital transformation in demand forecasting and supply planning by optimizing global supply chain processes.

Skills & Requirements

Must-have

  • Machine Learning models for forecasting
  • Integrate ML models with planning platforms
  • MLOps best practices
  • Python (scikit learn, TensorFlow, PyTorch, Pandas)
  • SQL query writing
  • Snowflake data platform
  • Microsoft Azure services

Nice-to-have

  • Domain knowledge in supply chain planning
  • Experience with specialized planning platforms
  • Semiconductor/high-tech industry background

Key Requirements

  • 6+ years of experience with Bachelor's degree or 4+ years with Master's degree or 2+ years with PhD
  • Demand Forecasting and Demand Planning transformation
  • Enterprise planning software solutions (SAP IBP, Blue Yonder, JDA DM, i2, Kinaxis, SAP BPC, Anaplan, Demantra, SAP APO or equivalent)
  • 5+ years of professional experience as an ML Engineer, Data Scientist, or similar role
  • Agile development principles and Jira experience

Work Rights

Not specified

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