Ml Engineer, Demand And Supply Planning

Intel Corporation

Bangalore, India
Machine learning models for forecasting
Integrate ml models with planning platforms
Mlops best practices
Drive digital transformation in demand forecasting and supply planning to optimize global supply chain processes

Job Summary

  • Drive digital transformation in demand forecasting and supply planning to optimize global supply chain processes.
  • Design, develop, and deploy end-to-end Machine Learning models for forecasting demand, optimizing supply, and improving inventory allocation.
  • Establish MLOps best practices for model deployment, monitoring, retraining, and performance tracking in a production environment.

Matching Summary

Drive digital transformation in demand forecasting and supply planning to optimize 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)
  • SQL query proficiency
  • Snowflake data platform
  • Microsoft Azure experience

Nice-to-have

  • Supply chain planning domain knowledge
  • Semiconductor/high-tech industry background
  • Agile development principles

Key Requirements

  • 6+ years experience (Bachelor's)
  • 4+ years experience (Master's)
  • 2+ years experience (PhD)
  • Experience with enterprise planning software
  • 5+ years ML Engineer/Data Scientist experience

Work Rights

Not specified

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