Overview In this role you will lead the creation of cutting-edge ML/AI solutions for supply chain and operations, turning prototypes into scalable, production-ready systems. You will partner with stakeholders to prioritize automation opportunities and mentor junior engineers, driving engineering excellence in AI/ML practices. The team focuses on applying predictive analytics, LLMs, and autonomous AI to optimize Amazon's global operations. This is a high-impact role that blends startup-like agility with Amazon-scale impact.
Responsibilities- Lead development of innovative ML/AI solutions for supply chain and operations
- Rapidly prototype and validate ideas through minimum lovable products (MLPs)
- Transform promising prototypes into production-ready systems at global scale
- Collaborate with business stakeholders to identify and prioritize high-value automation opportunities
- Mentor junior members and promote engineering excellence in AI/ML practices
Key requirements- PhD, or a Master's degree and experience in CS, CE, ML or related field
- Experience in building models for business application
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- ownership
- ability to deal with ambiguity
- team collaboration
- Modeling tools: R, scikit-learn, Spark MLLib, MxNet, TensorFlow, numpy, scipy
- Large-scale distributed systems: Hadoop, Spark
- Programming: Java, C++, Python
