Hiring: Principal AI Software Engineer (AHT) Company: Northrop Grumman Location: Beavercreek, OH Job Posted Time: 2026-09-17 04:12:10 Target Skills & Keywords : AI, AWS, Computer Vision, Deep Learning, FastAPI, Flask, Keras, LLM, Linux, MLOps, Machine Learning, Microservices, NLP, PyTorch, Reinforcement Learning, TensorFlow, Transformers, containerd About the job Required Skills: •Define, develop, and deliver mathematical and statistical models and algorithms to address prediction, optimization, and classification problems. •Design, develop, document, test, debug, and deploy AI/ML applications. •Partner cross-functionally with cross‑functional teams to deploy AI/ML solutions in development and production environments. •Prepare and present technical progress and results to internal and external stakeholders. Qualifications: •Bachelor’s degree in Computer Science or a related STEM field with 5 years of relevant experience, or master’s degree in Computer Science or a related STEM field with 3 years of relevant experience; an additional 4 years of relevant experience may be considered in lieu of a degree. •Experience implementing and/or applying one or more AI models and algorithms (for example: LLMs, deep neural networks, genetic algorithms, embedding models, deep learning architectures). •Experience developing systems using AI/ML frameworks and libraries such as PyTorch, TensorFlow, Keras, or Scikit‑learn. •Experience across the ML pipeline, including: •Working with novel or heterogeneous datasets. •Training and fine‑tuning ML systems. •Modifying existing deep learning architectures and implementing models from architecture diagrams. •Evaluating system performance using established and custom metrics and methods. •Demonstrated capacity to perform rapid prototyping and proof‑of‑concept implementations. •General familiarity with applied machine learning concepts, including multilayer perceptrons, convolutional neural networks (CNNs), recurrent architectures such as LSTMs, transformer models, supervised and unsupervised learning methods, reinforcement learning methods, and statistical or graphical models. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!