Applying artificial intelligence (AI) to accelerate effect generation on targets of opportunity for the Intelligence Community
Requirements
- Experience with artificial intelligence data science, machine learning engineering, or data analytics
- Experience with project work in deep learning, computer vision, NLP, or signal processing
- Experience using AI and ML frameworks, including PyTorch or TensorFlow
- Experience with multiple libraries, including NumPy, OpenCV, Scikit, or Pandas
- Experience with high-level programming languages, including Python, Scala, or Java
- Knowledge of modern software design patterns, including microservice design or edge computing
- Experience with DevOps tools, including Docker, Git, GitLab, GitHub, Continuous Integration (CI), or Continuous Deployment (CD)
Responsibilities
- Train, test, deploy, and maintain models that learn from data
- Lead statistical analyses on business processes using machine learning techniques
- Apply best-fit ML algorithms and introduce leading-edge technologies
- Collaborate with IC stakeholders, data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions
- Define ML strategy in support of national security
- Work with Agile methodologies
- Share knowledge with a large community of machine learning engineers across the company
Other
- TS/SCI clearance
- Bachelor's degree in a Science, Mathematics, Physics, Computer Science, or Applied Science field
- Ability to gather requirements from customers and lead Agile teams
- Master’s degree in CS or Statistics preferred; Doctorate degree in CS or Statistics a plus
- 2+ years of experience
