Machine Learning Engineer - Global Sourcing & Supply Management (GSSM) Solutions
Core
Design, develop, and deploy machine learning models and AI systems for forecasting, optimization, decision-making, and intelligent workflow automation within the supply chain.
Role type
Senior IC machine learning engineer (supply chain)
Builds
Production-ready ML systems, model inference services, APIs, data pipelines, and scalable ML applications
Domain
Supply chain management + Applied Machine Learning
Deliverable
production ML models
Required skills
Machine learning algorithms, Python, SQL, large-scale data processing, PyTorch or TensorFlow, transformer-based models, LLM/GenAI applications, MLOps, distributed computing, system design
Preferred skills
Java or C++, forecasting, optimization, operational decision-making, supply chain domain expertise
Technologies
PyTorch, TensorFlow, LLMs, GenAI, MLOps pipelines
Responsibilities
Design and implement scalable model inference services; develop MLOps pipelines for deployment and monitoring; build analytical and AI-driven prototypes including GenAI and Text-to-SQL; optimize models for speed, scalability, and cost; collaborate with engineering teams on system design and distributed computing.
Seniority
Senior, hands-on IC
