Applied AI Engineer
Core
Design, develop, and deploy scalable AI and machine learning models to address complex operational challenges within mission networks.
Role type
Senior Applied AI Engineer (ML Ops & Deployment)
Builds
Scalable AI/ML pipelines, automated training workflows, and integrated AI systems for mission networks.
Domain
Defense / Government / Cloud Infrastructure
Deliverable
production ML models
Required skills
Machine Learning, Python, C++, PyTorch, TensorFlow, Cloud Architecture, Docker, Kubernetes, MLOps, API Integration, Technical Documentation
Preferred skills
AWS Certified Machine Learning Specialist, Azure AI Engineer Associate, NLP, Computer Vision, LLM fine-tuning, DevSecOps, Data Governance
Technologies
AWS, Azure, Docker, Kubernetes, PyTorch, TensorFlow, Python, C++, MLOps
Responsibilities
Design, develop, and deploy scalable AI and machine learning models; Orchestrate AI/ML pipelines and automate continuous training workflows; Evaluate, tune, and optimize models across cloud, on-premises, and edge environments; Maintain technical baseline configurations and engineering documentation; Assess emerging AI frameworks and recommend process improvements.
Seniority
Senior, hands-on IC