toters delivery
501 - 1000 employees
Founded 2015
📦 Logistics
🍽️ Food & Beverage
✈️ Travel
💰 $18M Series B on 2022-06
Logistics • Food & Beverage • Travel
Toters Delivery is a fast and easy delivery service that connects customers with their favorite stores, ranging from coffee shops to grocery stores and electronics retailers. Customers can order with one click, choose from various payment options, and track their orders in real time. The platform also offers businesses a chance to partner and reach new customers, allowing delivery from some of the city's trendiest restaurants.
Machine Learning Engineer
Job not on LinkedIn
🕒 July 29
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toters delivery
501 - 1000 employees
Founded 2015
📦 Logistics
🍽️ Food & Beverage
✈️ Travel
💰 $18M Series B on 2022-06
Logistics • Food & Beverage • Travel
Toters Delivery is a fast and easy delivery service that connects customers with their favorite stores, ranging from coffee shops to grocery stores and electronics retailers. Customers can order with one click, choose from various payment options, and track their orders in real time. The platform also offers businesses a chance to partner and reach new customers, allowing delivery from some of the city's trendiest restaurants.
📋 Description
• Build and maintain end-to-end ML pipelines using XGBoost, LightGBM, PyTorch, and TensorFlow. • Architect scalable training and inference systems for real-time predictions. • Lead cross-functional ML initiatives and mentor engineering teams. • Optimize models for demand forecasting, fraud detection, and personalization. • Apply MLOps best practices and collaborate with DevOps on deployment. • Process and analyze 10TB+ datasets using distributed computing frameworks.
🎯 Requirements
• 4+ years building production ML systems at scale (100K+ users). • Expert in XGBoost, LightGBM, and gradient boosting algorithms. • Strong Python and ML stack experience: PyTorch, TensorFlow, NumPy, Scikit-learn. • Hands-on experience with agentic AI systems and MCP frameworks. • Proven track record in ML deployment and MLOps. • Technical leadership and mentorship experience.
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