We are seeking a Senior AI Engineer to own the end-to-end lifecycle of ML systems, from problem formulation and data collection through model training, deployment, and monitoring. This role involves designing scalable architectures and deploying production-grade models across a variety of use cases while collaborating closely with cross-functional teams. Responsibilities Own end-to-end lifecycle of ML systems: problem formulation, data collection, feature engineering, model training, evaluation, deployment, and monitoring Design and implement scalable ML architectures including batch and real-time pipelines Work with large-scale structured and unstructured datasets such as clickstream, transactional, text, and image data Develop and deploy models such as recommendation systems, ranking models, forecasting models, and classification/regression systems Apply deep learning techniques including neural networks, transformers, and representation learning where appropriate Build and maintain feature stores, model registries,



and experiment tracking systems Ensure production readiness through latency optimization, scalability, reliability, and cost efficiency Collaborate with engineering, product, and business teams to define KPIs and success metrics Requirements3+ years of experience in building and deploying ML systems in production environments Expertise in designing scalable ML architectures, including batch and real-time pipelines Proficiency in working with large-scale structured and unstructured datasets, including clickstream, transactional, text, and image data Experience developing recommendation systems, ranking models, forecasting models, and classification/regression systems Knowledge of deep learning techniques including neural networks, transformers, and representation learning Skills in building and maintaining feature stores, model registries, and experiment tracking systems Understanding of production readiness considerations such as latency optimization,

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