Machine Learning Engineer developing AI models for satellite and drone data analysis. Engaging with geospatial challenges and pioneering advancements in computer vision technology.
About the role
- Software Engineer at CACI enhancing complex software systems with a focus on machine learning and cloud technologies. Combining independent and collaborative work to drive innovation in security solutions.
Responsibilities
- Join our dynamic team as a Software Engineer where you will play a pivotal role in developing, maintaining, and enhancing complex and diverse software systems.
- Implement and refactor data pipelines at scale to improve efficiency and code correctness.
- Monitor and enhance existing data science tools to facilitate the transition from development to production systems.
- Design, implement, and enhance machine learning analytics using Python libraries such as PyTorch, NumPy, Pandas, and Scikit-learn.
- Train, test, track, and curate models using industry-standard tools and practices.
- Integrate GitOps for continuous integration and deployment of models using Docker and Kubernetes.
- Utilize AWS services such as EC2, S3, and RDS for building and deploying applications.
- Integrate model and tool outputs within Computer Network Defense (CND) systems to enhance Security Management/Monitoring services.
- Document all processes and code, and provide comprehensive reports on completed tasks.
Requirements
- Active TS/SCI w/ Polygraph
- Experience with Python
- Experience with Docker and/or Kubernetes
- 14 years’ experience as a Software Engineer in programs and contracts of similar scope, type, and complexity, or a Bachelor’s degree in Computer Science or a related discipline plus 4 years of additional SWE experience.
- Bachelor’s degree in Computer Science or a related discipline from an accredited college or university is required.
- Alternatively, 4 years of additional Software Engineering experience on projects with similar software processes may substitute for a bachelor’s degree.
- Experience with AWS
- Experience with Machine Learning
Benefits
- healthcare
- wellness
- financial
- retirement
- family support
- continuing education
- time off benefits
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