Associate AI Software Engineer: ML, NLP & Deployment

0090 CORP-Corporate Office; United States; On-site; USD 84,000 - 151,000; Full time

Benefits offered by this job

Health insurance coverage

Life and disability insurance

Savings plan

Company paid holidays

Paid time off (PTO)

Overtime and shift differential

Discretionary bonus

Annual bonuses

Long Term Incentives

Job summary

Northrop Grumman seeks an AI Software Engineer to advance ML/AI capabilities in its CWI AI Center of Excellence in Beavercreek, OH. The role emphasizes developing models and deploying ML solutions across autonomy, NLP, data fusion, and computer vision.

The candidate will collaborate with cross-functional teams, present progress to stakeholders, and contribute to responsible and explainable AI initiatives. A strong foundation in ML, Python, and AI frameworks is required.

Qualifications

• Bachelor’s degree in Computer Science or related STEM field with 0 years of relevant experience; an additional 4 years may be considered in lieu of a degree.
• AI models and algorithms experience (e.g., LLMs, CNNs, transformer models).
• Experience developing systems using AI/ML frameworks (PyTorch, TensorFlow, Keras, Scikit-learn).

Responsibilities

• Define, develop, and deliver mathematical and statistical models and algorithms to address prediction, optimization, and classification problems.
• Apply ML algorithms to large structured and unstructured datasets for autonomy, pattern recognition, and decision support.
• Design, develop, document, test, debug, and deploy AI/ML applications.

Skills

AI/ML frameworks

Python

ML models

LLMs

NLP/NLG/NLU

Data processing

DevOps

Security clearance

Education

Bachelor’s in CS or STEM

Master’s in CS (optional)

Tools

Flask/FastAPI

Git/Source Control

Job description

Northrop Grumman seeks an AI Software Engineer to advance ML/AI capabilities in its CWI AI Center of Excellence in Beavercreek, OH. The role emphasizes developing models and deploying ML solutions across autonomy, NLP, data fusion, and computer vision.

The candidate will collaborate with cross-functional teams, present progress to stakeholders, and contribute to responsible and explainable AI initiatives. A strong foundation in ML, Python, and AI frameworks is required.