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 seeking a Lead AI & Deep Learning Engineer to connect classic ML/deep learning with agentic AI patterns for real-time live-stream workflows. You will deliver production-ready agentic systems for content scanning, tagging, audio/visual classification, and contextual ad insertion, while designing event-driven microservices over WebSockets with vector search/OpenSearch and Weights & Biases evaluation.

Responsibilities

• Design and deploy advanced agentic AI frameworks, including context management,



MCP over WebSockets, and event-driven architectures for autonomous enterprise workflows
• Build and fine-tune traditional ML and deep learning models for classification, OCR (Optical Character Recognition), and audio spectrogram analysis
• Architect and optimize high-performance search and retrieval systems using OpenSearch / Elasticsearch and vector databases
• Implement rigorous evaluation pipelines in Weights & Biases (or equivalent ML/LLMOps tools) to validate new model versions against evals before production switching
• Collaborate in a fast-paced, experimental Kanban setup with daily discussions, technical reviews, and rapid prototyping
• Deliver robust autonomous agentic workflows over WebSockets that handle content scanning and live streaming tagging without hallucinations
• Integrate high-accuracy classification, OCR, and audio processing models into production MURAL and MU

📌 Lead AI (México)
🏢 Epam Systems
📍 México