Senior Software Engineer -Machine Learning and Data Science

CACI International•Laurel, MD

20h•Onsite

About The Position

Join our innovative team as a Senior Software Engineer specializing in Machine Learning and Data Science. You'll have the chance to work on cutting-edge projects, developing and enhancing complex software systems that make a real impact. This role offers an exciting blend of individual contribution and collaborative teamwork, allowing you to leverage your expertise in Python, Docker, and machine learning to drive technological advancements in computer network defense and security management. This position offers an excellent opportunity for a seasoned professional to apply their skills in a dynamic, high-impact environment. If you're passionate about leveraging cutting-edge technologies to solve complex problems in cybersecurity, we want to hear from you!

Requirements

Active TS/SCI w/ Polygraph
14+ years of experience as a Software Engineer in similar programs and contracts
Bachelor's degree in Computer Science or related field (or equivalent experience)
Extensive experience with Python programming
Proficiency in Docker and/or Kubernetes

Nice To Haves

Experience with AWS machine learning services
Strong background in data science and machine learning techniques
Familiarity with computer network defense and security management systems
Experience with GitOps and CI/CD pipelines

Responsibilities

Design and implement scalable data pipelines, improving efficiency and code correctness
Develop and enhance ML analytics using Python libraries such as PyTorch, NumPy, Pandas, and Scikit-learn
Train, test, and curate machine learning models using industry-standard tools and practices
Implement GitOps for continuous integration and deployment of models using Docker
Utilize AWS services (EC2, S3, RDS) for application building and deployment
Integrate model outputs with Computer Network Defense (CND) systems to enhance security capabilities
Contribute to software design, considering hardware/software tradeoffs and potential use of COTS/GOTS solutions
Provide comprehensive documentation and reporting on completed tasks