Senior Data Scientist / AI Machine Learning Research Engineer

CACI International Inc is seeking a Senior AI and Machine Learning Research Engineer to apply machine learning and statistics to develop algorithms for complex challenges in the RF domain. The role involves leveraging a strong foundation in machine learning, data science, and signal processing to solve significant problems in signal processing and computer networking.

Responsibilities:

• Strong mathematical foundation in statistics, linear algebra, and calculus with demonstrated ability to understand and implement machine learning algorithms from first principles rather than solely relying on pre-built libraries
• Proficiency in designing and building data pipelines, including experience with ETL processes, data warehousing solutions, and optimizing workflows for large-scale data processing
• Hands-on experience with cloud-based infrastructure (e.g., AWS, Azure, GCP) for deploying ML solutions, including containerization, orchestration, and CI/CD pipelines for model deployment
• Programming expertise in Python and SQL, with experience using data engineering frameworks (e.g., Spark, Airflow) and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn)
• Demonstrated experience in establishing ML governance practices, including version control for datasets and models, experiment tracking, model monitoring, and implementing reproducible research principles

Requirements:

• Master's degree in quantitative field with mathematical underpinnings and at least 5 years' experience
• Experience developing models
• Strong background in machine learning, mathematics and statistics
• Comfortable using Linux operating systems and commonly used Linux utilities
• Must be a US Citizen with the ability to obtain, maintain and/or transfer the required security clearance as dictated by the contract
• Must have active Top Secret Clearance with the ability to obtain SCI with Polygraph
• Ph.D. in computer science, computer engineering, or machine learning, Statistics, applied mathematics or Physics
• Experience applying machine learning to signal processing and/or other time-series data analysis applications
• Knowledge of or experience with information theory, probability theory, parametric and non-parametric statistical tests
• Familiarity with concepts and techniques associated with adversarial AI and AI/ML assurance
• Active Top Secret/SCI clearance preferred