Sourcing as a channel, not a feature.
hackajob is partnering with MANTECH to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
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.
hackajob is partnering with MANTECH to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.