CACI International Inc · 19 hours ago
Data Scientist
CACI International Inc is seeking a motivated Data Scientist (AI/ML Engineer) to develop and deploy complex Artificial Intelligence systems in support of the Department of Defense. The role involves applying advanced anomaly detection algorithms, collaborating with software engineers, and leading the cyber threat intelligence and detection mission.
SoftwareInformation TechnologyService Industry
Responsibilities
Architect, build, and deploy high-performance ML models into production, ensuring scalability, reliability, and low latency
Lead key phases of the ML lifecycle, from data preparation and model development to evaluation and monitoring, while working within mission-aligned constraints and collaborating across teams to evolve the pipeline responsibly
Develop and implement state-of-the-art algorithms, specifically utilizing neural networks, including graph neural networks
Work closely with Product Managers, Software Engineers, and Government Stakeholders to align technical solutions with platform goals
Improve model performance through feature engineering, hyperparameter tuning, and advanced experimentation
Mentor junior software developers and provide technical guidance/expertise
Ensure appropriate documentation is developed in conjunction with all delivered analytics
Troubleshoot issues with existing analytics and processes, and research/implement solutions
Use your experience to guide analytic approaches or solutions to problems and situations for which information is incomplete or for which no precedent exists
Qualification
Required
Active TS/SCI security clearance
Master's degree in data science, AI, or a related quantitative field
DOD Directive 8570 IAT I or II certification (Security+ or equivalent)
5+ years of industry experience in Machine Learning, with a focus on deploying models into production
Deep knowledge of ML frameworks such as PyTorch or TensorFlow
Strong command of Python. Experience with machine learning libraries such as Spark MLlib, Scikit-learn, XGBoost, Keras, Hugging Face, PyTorch Geometric, MLflow
Extensive experience incorporating data from multiple sources, labeling data to make it more discoverable for training purposes and identifying hidden patterns
Experience with data visualization libraries and tools such as Matplotlib, Grafana, or Kibana
Ability to communicate complex problems and corresponding solutions with non-technical leadership and customers
This position may require up to 10% travel within the Continental United States (CONUS)
Preferred
2+ years developing efficient analytic solutions at scale (operating over multiple PB of data)
Experience with search technologies such as Elasticsearch (ELK stack) and Lucene
Experience with Confluence/Jira page and ticket development and organization
Experience with Docker/Kubernetes and building containerized products
Experience with CI/CD pipelines and Git-related tools
Experience with data pipelines - Pandas, NumPy, NiFi, and Kafka or similar libraries and technologies
Experience with collaborative platforms such as Jira and Confluence
Knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Familiarity with network defense concepts and operations
Familiarity with cybersecurity principles and threat hunting methodologies
Familiarity with how to collect, store, and monitor data
Benefits
Healthcare
Wellness
Financial
Retirement
Family support
Continuing education
Time off benefits
Company
CACI International Inc
At CACI International Inc (NYSE: CACI), our 25,000 talented and dynamic employees are ever vigilant in delivering distinctive expertise and technology to meet our customers’ greatest challenges in national security.
Funding
Current Stage
Public CompanyTotal Funding
$1B2025-05-21Post Ipo Debt· $1B
2003-01-10IPO
Leadership Team
Recent News
Morningstar.com
2026-02-11
Washington Technology
2026-01-25
2026-01-22
Company data provided by crunchbase