Responsibilities:

1. 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.

2. Proficiency in designing and building data pipelines, including experience with ETL processes, data warehousing solutions, and optimizing workflows for large-scale data processing.

3. 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.

4. 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).

5. Demonstrated experience in establishing ML governance practices, including version control for datasets and models, experiment tracking, model monitoring, and implementing reproducible research principles.

Qualifications:

Required: 

• Master’s degree in quantitative field with mathematical underpinnings and at least 7 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

Desired:

• 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.

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: