Machine Learning Engineer
Core
Build and deploy production-grade machine learning systems for retail and consumer clients to optimize operations, forecasting, and customer experiences.
Role type
Senior Machine Learning Engineer (Production/Deployment)
Builds
Scalable ML software, tools, and infrastructure for retail and consumer use cases.
Domain
Retail & Consumer / Applied AI
Deliverable
production ML models
Required skills
Machine learning lifecycle, Python, software engineering best practices, cloud platforms (AWS/Azure/GCP), containerization and orchestration (Docker/Kubernetes), core ML concepts (probability, statistics, experimentation)
Preferred skills
Experience in retail, consumer, ecommerce, marketing, supply chain, or customer data
Technologies
Scikit-learn, TensorFlow, PyTorch, AWS, Azure, GCP, Docker, Kubernetes
Responsibilities
Build and deploy production-grade ML software and infrastructure; create reusable scalable solutions; collaborate with cross-functional teams; lead technical scoping and architectural decisions; define standards for deploying ML systems; act as a trusted technical advisor to customers; apply ML to challenges like demand forecasting and personalization.
Seniority
Senior, hands-on IC
