Machine Learning Platform Engineer

Build tools and infrastructure to help Machine Learning Engineers productionize robust ML models at Picnic. You'll work on MLOps-oriented projects including automating ML model retraining and deployment, setting up infrastructure for model inference with A/B testing and shadow testing strategies, improving monitoring for operational excellence, and developing Python packages to standardize tool usage.

Your contributions will power recommendation systems, LLM use cases for customer support automation, outlier detection for fraud prevention, and time-series forecasting for supply chain optimization. You'll work closely with ML Engineers to identify opportunities, own projects from inception to production, experiment with new technologies, and develop enhancements for the ML Platform.