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Lead AI & Deep Learning Engineer

Job in Oklahoma City, Oklahoma County, Oklahoma, 73116, USA
Listing for: EPAM Systems Inc
Full Time position
Listed on 2026-10-08
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 170000 - 210000 USD Yearly USD 170000.00 210000.00 YEAR
Job Description & How to Apply Below

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 Web Sockets with vector search/Open Search and Weights & Biases evaluation.

Responsibilities
  • Design and deploy advanced agentic AI frameworks, including context management, MCP over Web Sockets, 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 Open Search / 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 Web Sockets that handle content scanning and live streaming tagging without hallucinations
  • Integrate high-accuracy classification, OCR, and audio processing models into production MURAL and MURAL LIVE pipelines
  • Maintain comprehensive evaluation and observability dashboards in Weights & Biases governing model updates and agentic tool calls
Requirements
  • Proven track record with 5+ years of software engineering experience spanning traditional machine learning/deep learning (classification, OCR, computer vision/audio) and modern agentic AI workflows
  • Demonstrated 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)
  • High proficiency in Python & FastAPI backend development
  • Deep understanding of agentic AI frameworks such as Lang Chain, Llama Index, or custom agents
  • English proficiency at B2 level or higher
  • Nice to have:
    Experience with fine-tuning, distillation, and quantization of open-source models
  • Domain background in media & entertainment (broadcast video supply chain, Peacock / live streaming architecture)
  • Familiarity with Go / gRPC microservices
  • Knowledge of Terraform & AWS Cloud infrastructure
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