AI/ML Software Engineer — TS/SCI Clearance Eligible

Booz Allen Hamilton; North Dakota; Hybrid; USD 99,000 - 225,000; Full time

Job summary

Booz Allen Hamilton is seeking an AI/ML Software Engineer to develop, deploy, and analyze signaling data using advanced AI/ML techniques. You will work on mission-ready tech, apply functional knowledge, and contribute to solutions in a cross-functional team.

A TS/SCI clearance with a polygraph is required, with a STEM bachelor's degree preferred. The role emphasizes modernizing systems with Agile software practices, performance benchmarking, and collaboration across disciplines, while offering

Qualifications

• 3+ years of experience with ML libraries such as TensorFlow, Keras, PyTorch, or Onnx.
• 3+ years of experience in software development with languages like Python, C, or C++.
• Experience implementing, maintaining, and supporting Agile software development to modernize systems.
• Experience with Agile methodology, software engineering, product management, and software products.
• Experience running performance testing and benchmarking of trained neural networks, and optimizing algorithm performance.
• Ability to obtain a TS/SCI clearance with a polygraph.
• Bachelor's degree in a STEM field.

Responsibilities

• Develop, deploy, or analyze signaling data using AI/ML techniques.
• Work independently with guidance and review junior colleagues' work.
• Collaborate in cross-functional teams to solve complex problems.

Skills

ML libraries

Programming languages

Agile

Security clearance

Cross-functional teamwork

Education

Bachelor's degree in STEM

Job description

Booz Allen Hamilton is seeking an AI/ML Software Engineer to develop, deploy, and analyze signaling data using advanced AI/ML techniques. You will work on mission-ready tech, apply functional knowledge, and contribute to solutions in a cross-functional team.

A TS/SCI clearance with a polygraph is required, with a STEM bachelor's degree preferred. The role emphasizes modernizing systems with Agile software practices, performance benchmarking, and collaboration across disciplines, while offering