Machine Learning Engineer
Core
Transform research-driven ML work into robust, production-ready systems for e-commerce monitoring tools.
Role type
Senior IC Machine Learning Engineer (MLOps/Productionization)
Builds
Production ML systems, deployment pipelines, and monitoring infrastructure for Digital Shelf Optimization and Retail Media solutions.
Domain
E-commerce / Retail Media / Data Intelligence
Deliverable
production ML models
Required skills
Python, ML system deployment, CI/CD workflows, model versioning, code refactoring, unit testing, cloud platforms (AWS), data platforms (Snowflake), containerization (Docker)
Preferred skills
None stated
Technologies
Python, AWS, Snowflake, Docker
Responsibilities
Own end-to-end lifecycle of ML systems with focus on deployment and monitoring; Refactor and productionize existing models and notebooks; Introduce and enforce best practices in coding, testing, and model versioning; Set up and improve CI/CD workflows; Work with Data Scientists and Data Engineers to ensure clean interfaces and reliable data flows; Act as a technical reference reviewing code and guiding team members.
Seniority
Senior, hands-on IC
