Requirements
Must have:
- 3+ years of experience in artificial intelligence, data science, or machine learning engineering, specifically in the development and deployment of ML models - 3+ years of proficiency in Python programming and libraries, including scikit-learn, TensorFlow, or PyTorch - Familiarity with common programming languages such as Python, C++, Rust, or Java - Experience with deep learning, computer vision, or generative AI techniques - Knowledge of supervised and unsupervised learning methodologies - Competence in data management and model creation - Strong problem-solving abilities to assist clients - Active Secret clearance - Bachelors degree in a relevant field
Responsibilities:
- Design, train, test, deploy, and sustain machine learning models that learn from data - Define and drive the strategy for mission-critical solutions using AI - Collaborate with a community of machine learning engineers, data engineers, data scientists, solutions architects, and product owners - Guide clients through the complexities of machine learning algorithms, tools, and frameworks - Innovate and implement AI strategies to enhance national security initiatives - Tackle real-world challenges within the defense sector
Company:
We are a leading defense technology team dedicated to leveraging machine learning to improve processes for national security. Our culture promotes flexibility and collaboration, whether you work in person or remotely. We celebrate our employees through comprehensive benefits, including health, life, disability, financial, and retirement plans, alongside professional development and tuition assistance. Our recognition awards program acknowledges outstanding contributions. Join us in solving critical challenges in the Department of Defense market. This role requires occasional in-person collaboration at Booz Allen or client sites, depending on the positions specifics.
