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.ResponsibilitiesDesign and deploy advanced agentic AI frameworks, including context management, MCP over WebSockets, and event-driven architectures for autonomous enterprise workflowsBuild and fine-tune traditional ML and deep learning models for classification, OCR (Optical Character Recognition), and audio spectrogram analysisArchitect and optimize high-performance search and retrieval systems using OpenSearch / Elasticsearch and vector databasesImplement rigorous evaluation pipelines in Weights & Biases (or equivalent ML/LLMOps tools) to validate new model versions against evals before production switchingCollaborate in a fast-paced,



experimental Kanban setup with daily discussions, technical reviews, and rapid prototypingDeliver robust autonomous agentic workflows over WebSockets that handle content scanning and live streaming tagging without hallucinationsIntegrate high-accuracy classification, OCR, and audio processing models into production MURAL and MURAL LIVE pipelinesMaintain comprehensive evaluation and observability dashboards in Weights & Biases governing model updates and agentic tool callsRequirementsProven track record with 5+ years of software engineering experience spanning traditional machine learning/deep learning (classification, OCR, computer vision/audio) and modern agentic AI workflowsDemonstrated experience building stateful, event-driven microservices and agentic frameworks (MCP, WebSockets, tool-call orchestration)Hands-on experience with search and vector database infrastructure (OpenSearch / Elasticsearch)Strong experience with model eva

📌 Lead AI (México)
🏢 Epam Systems
📍 México