Senior Software Engineer - Machine Learning & Cloud Technologies
Listed on 2026-07-23
-
Software Development
Software Engineer, DevOps, Cloud Engineer - Software, Machine Learning/ ML Engineer
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
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, Num Py, Pandas, and Scikit-learn.
- Model Management: Train, test, track, and curate models using industry-standard tools and practices.
- CI/CD: Integrate Git Ops 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.
- Location:
50% of the time at our Laurel and 50% at our Linthicum Heights, MD locations.
Required:
- 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.
Desired:
- Experience with AWS
- Experience with Machine Learning
This position is contingent on funding and may not be filled immediately. However, this position is representative of positions within CACI that are consistently available. Individuals who apply may also be considered for other positions at CACI.
Pay RangeThere are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities.
Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
The proposed salary range for this position is:
$131,800 - $290,000
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.
#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).