We are building production-ready ML solutions and need a Lead Machine Learning Engineer to own end-to-end model delivery and MLOps rigor. You will create forecasting, recommendation, and optimization models, operationalize them with APIs and pipelines, and drive monitoring and continuous improvement—apply now.ResponsibilitiesDesign and build machine learning models for forecasting, classification, recommendation, segmentation and optimizationPackage models for production use and deliver them through APIs or scheduled jobsImplement monitoring, retraining and lifecycle management for ML solutionsApply MLOps best practices, including model versioning, experiment tracking and reproducible pipelinesTrack model behavior in production and recommend data-driven improvementsContribute to technical design reviews and present well-reasoned options with trade-offsDocument architecture decisions and enable knowledge transfer to internal teamsPromote engineering standards, tools and best practices a...