Senior Software Engineer - Machine Learning & Cloud Technologies 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 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. This position sits 50% of the time at our Laurel and 50% at our Linthicum Heights, MD locations. Qualifications 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 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, you'll be part of a high-performing group dedicated to our customer's 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. You'll 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. Your potential is limitless. So is ours. 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. Since this position can be worked in more than one location, the range shown is the national average for the position. The proposed salary range for this position is: $114,600-$252,100 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.