Position Details
About this role
This role focuses on developing advanced demand forecasting models using cutting-edge AI techniques, including foundation models and deep learning, to support strategic business decision-making.
Key Responsibilities
- Lead demand forecasting research
- Develop foundation models
- Implement hierarchical forecasting
- Optimize models for accuracy
- Collaborate with business teams
Technical Overview
The technical scope includes time series analysis, deep learning frameworks (PyTorch, TensorFlow), foundation models, and hierarchical forecasting methods, deployed in a high-stakes business environment.
Ideal Candidate
The ideal candidate is an experienced AI/ML engineer with over 10 years in demand forecasting and time series analysis, proficient in deep learning frameworks and statistical models. They are innovative, collaborative, and capable of developing advanced forecasting solutions using foundation models.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 10 years of experience in AI/ML or demand forecasting, Lack of experience with time series models or foundation models, No proficiency in Python or deep learning frameworks, Inability to work on high-stakes forecasting projects
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