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 evaluation, tracking, and experimentation tools (Weights & Biases)High proficiency in Python & FastAPI backend developmentDeep understanding of agentic AI frameworks such as LangChain, LlamaIndex, or custom agentsEnglish proficiency at B2 level or higherNice to haveExperience with fine-tuning, distillation, and quantization of open-source modelsDomain background in media & entertainment (broadcast video supply chain, Peacock / live streaming architecture)Familiarity with Go / gRPC microservicesKnowledge of Terraform & AWS Cloud infrastructureWe offerInternational projects with top brandsWork with general teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.
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📌 Lead AI & Deep Learning Engineer (Nezahualcóyotl)
🏢 Epam Systems
📍 Nezahualcóyotl