This job posting has expired
Expired on April 1, 2026
Job Description
Design, build, and deploy production machine learning solutions for an enterprise Fleet Cascading & Optimization Platform. You will develop and operationalize demand forecasting and optimization models with a focus on explainability.
Responsibilities
- Build demand forecasting models with hierarchical reconciliation
- Develop cascading optimization using MILP/Min-Cost Flow solvers
- Implement document intelligence pipelines
- Deploy models on SageMaker with MLOps
Qualifications
- Proficiency in Python, PyTorch, or TensorFlow
- Knowledge of Time Series & Forecasting (Prophet, TFT)
- Experience with Linear Programming and MILP (PuLP, OR-Tools)
- AWS ML Stack experience (SageMaker)