Senior/Lead MLOps Engineer

hackajob is collaborating with MANTECH to connect them with exceptional professionals for this role. Responsibilities Include But Are Not Limited To Design, develop, and operationalize full-lifecycle AI/ML operations (MLOps/LLMOps). Implement and deploy Retrieval-Augmented Generation (RAG) architectures in production. Build and maintain scalable AI orchestration frameworks and production-ready AI systems. Manage and optimize Kubernetes-based AI deployments, focusing on GPU inference optimization. Conduct core Python development for AI systems and integrate OpenAI-compatible APIs into mission solutions. Operationalize AI agents using advanced frameworks like LangGraph or Semantic Kernel. Minimum Qualifications Bachelor’s degree in Computer Science, Engineering, or a related technical field. 5 or more years of experience in AI/ML production engineering, development, or related roles. Proven proficiency in Python development and experience with AI/ML libraries like TensorFlow or PyTorch. In-depth knowledge of MLOps/LLMOps principles and full machine learning lifecycle management. Experience with Kubernetes-based AI deployments and GPU optimization techniques. Preferred Qualifications Experience with LangGraph, Semantic Kernel, and agentic AI systems. Familiarity with Ray, NVIDIA GPU ecosystems, or Vector databases. Advanced degree (Master's or PhD) in a technical field. Clearance Requirements TS/SCI clearance with CI polygraph will be required. Show more Show less