We are looking for a Lead AI Engineer to drive end-to-end ML delivery, from problem framing and data sourcing to deployment and monitoring. You will design scalable batch and real-time ML architectures, ship production-grade models across multiple use cases, and partner with engineering, product, and business stakeholders to define KPIs and outcomes. Responsibilities Lead the full ML system lifecycle: problem formulation, data collection, feature engineering, model training, evaluation, deployment, and monitoring Design and implement scalable ML architectures that support batch and real-time pipelines Handle large-scale structured and unstructured datasets including clickstream, transactional, text, and image data Build and ship models such as recommendation systems, ranking models, forecasting models, and classification/regression systems Apply deep learning methods including neural networks, transformers, and representation learning when appropriate Create and maintain feature stores, model registries,



and experiment tracking systems Ensure production readiness by optimizing latency, scalability, reliability, and cost efficiency Partner with engineering, product, and business teams to define KPIs and success metrics Requirements5+ years of experience building and deploying ML systems in production environments Hands-on expertise designing scalable ML architectures, including batch and real-time pipelines Strong ability to work with large-scale structured and unstructured datasets, including clickstream, transactional, text, and image data Demonstrated experience developing recommendation systems, ranking models, forecasting models, and classification/regression systems Deep understanding of deep learning techniques including neural networks, transformers, and representation learning Practical skills building and maintaining feature stores, model registries, and experiment tracking systems Solid knowledge of production readiness topics such as latency optimization,

📌 Lead ai engineer (México)
🏢 Epam Systems
📍 México