EPAM is a leading integral provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

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

Requirements

• 5+ years of experience building and deploying ML systems in production environments
• Hands-on expertise designing scalable ML archit

📌 Lead AI Engineer (México)
🏢 Epam Systems
📍 México