This job posting has expired
Expired on April 1, 2026
Job Description
Design, build, and deploy production ML solutions for a large Fleet Optimization Platform. Develop demand forecasting, cascading optimization, and NLP intelligence models on AWS. Own the end-to-end ML lifecycle.
Responsibilities
- Build demand forecasting models (XGBoost, BSTS, TFT)
- Develop cascading optimization solvers
- Implement document intelligence pipelines
- Deploy models on SageMaker with MLOps
- Implement explainability tools (SHAP, LIME)
Qualifications
- Python proficiency
- Experience with PyTorch, TensorFlow, scikit-learn
- Knowledge of SageMaker
- Optimization skills (MILP, PuLP)