Senior AI & Deep Learning Engineer

EPAM Systems, Inc.; México; A distancia; MXN 900.000 - 1.300.000; Jornada completa

Descripción de la vacante

EPAM Systems, Inc. is seeking a Senior AI & Deep Learning Engineer to bridge traditional ML/DL with advanced agentic AI workflows.

You will build production-grade agentic systems for real-time content scanning, tagging, and audio/visual classification in live streams (e.g., Peacock). You will architect event-driven microservices over WebSockets and integrate vector search with OpenSearch, maintaining observability dashboards with Weights & Biases.

Formación

• 3+ years of software engineering experience with a hybrid background in ML/DL and agentic AI workflows.
• Proficiency in Python and FastAPI backend development.
• Hands-on experience with search and vector databases (OpenSearch/Elasticsearch) and evaluation tools (Weights & Biases).
• Experience with MCP, WebSockets, and tool-call orchestration for stateful microservices.
• Familiarity with Terraform & AWS Cloud infrastructure.
• English proficiency at B2 level or higher.

Responsabilidades

• Develop and deploy advanced agentic AI frameworks for autonomous enterprise workflows.
• Architect event-driven microservices and MCP over WebSockets.
• Integrate vector search/OpenSearch and vector databases into pipelines.
• Maintain rigorous evaluation dashboards with Weights & Biases for model updates.
• Collaborate in a Kanban environment with rapid prototyping and reviews.
• Deliver robust agentic workflows for content scanning and live streaming tagging without hallucinations.

Conocimientos

Python

English proficiency (B2+)

LangChain

LlamaIndex

WebSockets

MCP

Weighs & Biases

Herramientas

FastAPI

OpenSearch

Elasticsearch

LangChain

LlamaIndex

Terraform

AWS

Go

gRPC

Descripción del empleo

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 WebSockets, integrate vector search/OpenSearch, and enforce rigorous evaluation using Weights & Biases.ResponsibilitiesDevelop and deploy advanced agentic AI frameworks (context management, MCP over WebSockets, 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 using Weights & Biases (or equivalent ML/LLMOps tools) to validate new model versions against evals before production switchingCollaborate in a fast-paced, experimental Kanban environment with constant daily discussions, technical reviews, and rapid prototypingDeliver robust, autonomous agentic workflows running over WebSockets that successfully handle content scanning and live streaming tagging without hallucinationsIntegrate high-accuracy classification, OCR, and audio processing models seamlessly into production MURAL and MURAL LIVE pipelinesMaintain comprehensive evaluation and observability dashboards (Weights & Biases) governing all model updates and agentic tool callsRequirements3+ years of software engineering experience with a hybrid background in traditional machine learning/deep learning (classification, OCR, computer vision/audio) and modern agentic AI workflowsProven 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)Proficiency in Python & FastAPI backend developmentExpertise in agentic AI frameworks such as LangChain, LlamaIndex, or custom agentsEnglish proficiency at B2 level or higherNice to haveSkills in fine-tuning, distillation, and quantization of open-source modelsBackground in media & entertainment domain expertise (broadcast video supply chain, Peacock / live streaming architecture)Familiarity with Go / gRPC microservicesKnowledge of Terraform & AWS Cloud infrastructureWe offerInternational projects with top brandsWork with global 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.