Job Title: Senior Software Engineer -Machine Learning and Data Science
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 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!
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
Qualifications:
Required:
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
Desired:
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
What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, youll be part of a high-performing group dedicated to our customers missions and driven by a higher purpose to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. Youll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation''s most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground in your career and in our legacy.
Pay Range:
There 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.