Senior Software Engineer - Machine Learning & Cloud Technologies

Job Title: Senior Software Engineer - Machine Learning & Cloud Technologies

Job Category: Engineering

Time Type: Full time

Minimum Clearance Required to Start: TS/SCI with Polygraph

Employee Type: Regular

Percentage of Travel Required: None

Type of Travel: None

• * *

The Opportunity:

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. Whether working independently or as part of a collaborative team, you will contribute to innovative solutions that drive our mission forward. If you are passionate about software development, machine learning, and cloud technologies than this is an ideal role for you!

Responsibilities

• Data Pipelines: Implement and refactor data pipelines at scale to improve efficiency and code correctness.

• Tool Enhancement: Monitor and enhance existing data science tools to facilitate the transition from development to production systems.

• ML Analytics: Design, implement, and enhance machine learning analytics using Python libraries such as PyTorch, NumPy, Pandas, and Scikit-learn.

• Model Management: Train, test, track, and curate models using industry-standard tools and practices.

• CI/CD: Integrate GitOps for continuous integration and deployment of models using Docker and Kubernetes.

• Cloud Services: Utilize AWS services such as EC2, S3, and RDS for building and deploying applications.

• System Integration: Integrate model and tool outputs within Computer Network Defense (CND) systems to enhance Security Management/Monitoring services.

• Documentation: Document all processes and code, and provide comprehensive reports on completed tasks.

• This position sits 50% of the time at our Laurel and 50% at our Linthicum Heights, MD locations.

QualificationsRequired:

• 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.