Software Engineer 3 AI/ML

CTRL is seeking a Software Engineer 3 with Machine Learning (ML) & Artificial Intelligence (AI) experience for our contract. The ideal candidate will be responsible for designing and developing robust software solutions that leverage ML and AI techniques to enhance cyber defense and cyber intelligence solutions.

This role requires a deep understanding of programming languages, as well as hands-on experience implementing ML/AI algorithms and frameworks. You will join a talented software team focused on developing innovative solutions for mission-critical systems and applications. Those interested in this position should be comfortable with change and eager to learn new technologies, as this opportunity is centered on finding innovative solutions to our customer's toughest challenges.

The team will also address challenges related to infrastructure provisioning and cloud migration within a hybrid, multi-cloud environment (e.g., VMware, AWS & Azure), Cyber Threat Intelligence, DevOps, and Containerization & Orchestration.

If you are a software engineer with experience in both Java and Python, have a background in ML and AI, and are passionate about solving complex challenges we'd love to have you on our team.

• Evaluate models for applicability to mission problems, including speed, accuracy, security, and compliance.
• Understand standard AI/ML data formats for models, weights, and data interchange.
• Apply industry-standard techniques for compressing and fine-tuning models to fit target platforms, including CPU-only implementations and edge devices.
• Optimize performance and efficiency of ML/AI models through continuous testing and refinement.
• Design and develop ML and AI algorithms and integrate them into systems to solve emerging mission-critical problems.
• Provide leadership and support for corporate AI efforts, including the AI Working Group, Innovation Center, and proposal activities.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Conduct research and experiments to identify and evaluate the most suitable ML/AI techniques for specific use cases.
• Stay current with the latest advancements in ML/AI technologies and best practices; research new technologies and address emerging challenges through quick-reaction problem identification and resolution.
• Analyze, design, develop, test, deploy, and maintain Java & Python-based solutions to address emerging mission challenges using industry best practices and frameworks.
• Document experiment results and prototype software solutions, ensuring all technical documentation (e.g., configuration guides, install guides) meets requirements.
• Collaborate with team members and stakeholders to jointly solve problems and deliver solutions.
• Work effectively within an Agile development environment.

• Software development on both low and high side to build innovative solutions in both environments.
• Work performed in both AWS and Azure environments.
• Work performed at contractor facility in {ADDRESS}.
• Opportunity for partial telework.

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Math, or Physics required; or equivalent combination of education, training, and experience.
• Minimum of 20 years of relevant experience in software engineering, modernization, or solution architecture.
• Four (4) years of additional software engineering experience on projects with similar software processes may be substituted for a bachelor's degree.
• Must hold a current security clearance and polygraph

• Deep understanding of AI/ML capabilities within a client environment.
• Strong software development skills in Java, Python, and Object-Oriented Programming concepts and patterns.
• Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, or similar.
• Solid understanding of data structures, algorithms, and computational complexity.
• Excellent problem-solving and analytical skills with keen attention to detail.
• Ability to work independently and collaborate effectively within a team environment.
• Experience across the full SDLC (Software Development Life Cycle), including Requirements Analysis, Design, Coding, Testing, Implementation, and Maintenance using Agile methodology.

• Proficiency with software project management tools such as GitLab, Jenkins, Maven, Jira, and Confluence.
• Previous experience developing and deploying ML/AI models in real-world applications.
• Knowledge of distributed computing frameworks such as Apache Spark or Hadoop.
• Knowledge of data science workflows, ETL processes, and data lakes.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Familiarity with containerization technologies such as Docker and Kubernetes.
• Contributions to open-source projects or active participation in the developer community.