Defense AI/ML Engineer – Secret Clearance

Booz Allen Hamilton; Washington (District of Columbia); Sur place; USD 78 000 - 176 000; Plein temps

Résumé du poste

Booz Allen Hamilton in Washington, DC, is seeking a Machine Learning Engineer to design, train, test, deploy, and maintain ML models for defense applications and DoD programs. You will collaborate with data engineers, data scientists, solutions architects, and product owners to apply AI across diverse use cases using Python and common ML frameworks.

Requirements: 2+ years in AI/ML, Python with scikit-learn/TensorFlow/PyTorch, C++/Rust/Java, deep learning or computer vision, data handling, and a

Qualifications

• 2+ years of AI/ML experience with developing and deploying models.
• Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch).
• Experience with Python, C++, Rust, or Java programming languages.
• Experience with deep learning, computer vision, or generative AI.
• Experience with data handling and model development.
• Ability to solve client issues and problems.
• Secret clearance and Bachelor's degree required.

Responsabilités

• Own and define the direction of critical ML solutions for defense projects.
• Train, test, deploy, and maintain ML models at scale.
• Collaborate with data engineers, data scientists, and product owners.
• Guide clients on ML algorithms, tools, and frameworks.

Connaissances

Machine learning

Python

C++/Rust/Java

Deep learning

Data handling

Security clearance

Problem solving

Formation

Bachelor's degree

Description du poste

Booz Allen Hamilton in Washington, DC, is seeking a Machine Learning Engineer to design, train, test, deploy, and maintain ML models for defense applications and DoD programs. You will collaborate with data engineers, data scientists, solutions architects, and product owners to apply AI across diverse use cases using Python and common ML frameworks.

Requirements: 2+ years in AI/ML, Python with scikit-learn/TensorFlow/PyTorch, C++/Rust/Java, deep learning or computer vision, data handling, and a