We are looking for a Senior AI & Deep Learning Engineer who bridges the gap between traditional machine learning / deep learning and advanced agentic AI workflows. In the MURAL & MURAL LIVE teams, you will build production-grade agentic systems that power real-time content scanning, tagging, audio/visual classification, and contextual ad insertion for live streaming feeds (such as Peacock). You will architect event-driven microservices communicating over Web Sockets, integrate vector search/Open Search, and enforce rigorous evaluation using Weights & Biases. Responsibilities Develop and deploy advanced agentic AI frameworks (context management, MCP over Web Sockets, 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 Open Search / Elasticsearch and vector databases Implement rigorous evaluation pipelines using Weights & Biases (or equivalent ML/LLMOps tools) to validate new model versions against evals before production switching Collaborate in a fast-paced, experimental Kanban environment with constant daily discussions, technical reviews, and rapid prototyping Deliver robust, autonomous agentic workflows running over Web Sockets that successfully handle content scanning and live streaming tagging without hallucinations Integrate high-accuracy classification, OCR, and audio processing models seamlessly into production MURAL and MURAL LIVE pipelines Maintain comprehensive evaluation and observability dashboards (Weights & Biases)



governing all model updates and agentic tool calls Requirements3+ years of software engineering experience with a hybrid background in traditional machine learning/deep learning (classification, OCR, computer vision/audio) and modern agentic AI workflows Proven experience building stateful, event-driven microservices and agentic frameworks (MCP, Web Sockets, tool-call orchestration)Hands-on experience with search and vector database infrastructure (Open Search / Elasticsearch)Strong experience with model evaluation, tracking, and experimentation tools (Weights & Biases)Proficiency in Python & Fast API backend development Expertise in agentic AI frameworks such as Lang Chain, Llama Index, or custom agents English proficiency at B2 level or higher Nice to have Skills in fine-tuning, distillation, and quantization of open-source models Background in media & entertainment domain expertise (broadcast video supply chain, Peacock / live streaming architecture)Familiarity with Go / g RPC microservices Knowledge of Terraform & AWS Cloud infrastructure We offer International projects with top brands Work with global teams of highly skilled, diverse peers Healthcare benefits Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the Linked In Learning library and 22,000+ courses Integral career opportunities Volunteer and community involvement opportunities EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and Linked In EPAM 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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📌 Senior ai & deep learning engineer (Ciudad de México)
🏢 Epam Systems
📍 Ciudad de México