Hybrid Machine Learning Engineer

Posted 3 hours ago

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About the role

  • Machine Learning Engineer developing and maintaining AI models for defense technology at Booz Allen. Collaborating with cross-functional teams to implement innovative solutions for national security.

Responsibilities

  • Train, test, deploy, and maintain models that learn from data
  • Own and define the direction of mission-critical solutions by implementing AI that enables faster mission success
  • Collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions
  • Guide clients as they navigate the landscape of ML algorithms, tools, and frameworks
  • Solve real-world challenges and define AI strategy for national security

Requirements

  • 3+ years of experience with artificial intelligence, data science, or machine learning engineering, including developing and deploying MLE models
  • 3+ years of experience with Python coding and libraries, including scikit-learn, TensorFlow, or PyTorch
  • Experience with developing code using a common programming language, including Python, C++, Rust, or Java
  • Experience with deep learning, computer vision, or generative AI
  • Experience with supervised and unsupervised learning
  • Experience with data handling and model development
  • Ability to solve client issues and problems
  • Secret clearance
  • Bachelor's degree

Benefits

  • health, life, disability, financial, and retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
  • recognition awards for exceptional performance

Job title

Machine Learning Engineer

Job type

Experience level

Mid levelSenior

Salary

$77,600 - $176,000 per year

Degree requirement

Bachelor's Degree

Location requirements

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