AI/ML Engineer for National Security (Remote/Hybrid)

Booz Allen Hamilton; Arlington (VA); Hybrid; USD 77,600 - 176,000; Full time

Benefits offered by this job

Health, life, and disability benefits

Professional development and tuition assistance

Paid leave and work-life programs

Recognition awards program

Job summary

Booz Allen Hamilton is seeking a Machine Learning Engineer to lead mission-critical AI initiatives. You will train, test, deploy, and maintain ML models in support of defense technology solutions.

The ideal candidate will have at least 2 years of experience and expertise in Python, deep learning, and data handling. This position offers a compensation range of $77,600 to $176,000 annually, along with a comprehensive benefits package.

Qualifications

• 2+ years of experience in artificial intelligence, data science, or machine learning engineering.
• Hands-on experience with deep learning, computer vision, or generative AI.
• Secret clearance required.

Responsibilities

• Define the direction of AI solutions for national security use cases.
• Design, develop, and deploy machine learning models.
• Conduct statistical analyses and model validation on large datasets.

Skills

Proficiency in Python

Experience with deep learning

Data handling expertise

Ability to solve technical client problems

Education

Bachelor’s degree

Tools

scikit-learn

TensorFlow

PyTorch

Python

C++

Rust

Java

Job description

Booz Allen Hamilton is seeking a Machine Learning Engineer to lead mission-critical AI initiatives. You will train, test, deploy, and maintain ML models in support of defense technology solutions.

The ideal candidate will have at least 2 years of experience and expertise in Python, deep learning, and data handling. This position offers a compensation range of $77,600 to $176,000 annually, along with a comprehensive benefits package.