Captivation Software
Artificial Intelligence Machine Learning Engineer 2
About this role
Captivation Software seeks a mid-level AI/ML engineer to design, develop, test, and operationalize machine learning algorithms addressing business and mission-critical challenges. The role requires productizing solutions through data analysis, algorithm implementation, and rigorous validation while supporting national security objectives.
What you'll do
- Select appropriate datasets and perform statistical analysis to inform ML model development
- Implement and optimize machine learning algorithms, then refine models based on performance results
- Conduct testing, evaluation, and verification of AI/ML systems through iterative design processes
- Transform data science prototypes into scalable, production-ready solutions with system integration oversight
- Monitor data quality, detect distribution shifts affecting model performance, and retrain systems as needed
- Research, evaluate, and implement diverse AI/ML algorithms, tools, and data representation methods
What they're looking for
- Machine learning algorithm development and optimization
- Statistical analysis and data manipulation
- ML libraries and frameworks (scikit-learn, TensorFlow, PyTorch, etc.)
- Data preprocessing and feature engineering
- Model validation and testing protocols
- Software architecture and data structure design
- Python or similar ML-focused programming languages
- System integration and deployment
Opens the official application on the employer’s site. No login required.
Captivation Software
Captivation Software builds high-performance computing and secure analytics infrastructure for mission-critical government programs, specializing in HPC testing, enterprise dataflow architectures, and cleared defense systems. The company is hiring senior test engineers, systems engineers, and technical leaders with deep expertise in Linux, cloud infrastructure, and security clearances to validate systems and architect solutions for intelligence community operations.
View all jobs at Captivation SoftwareLikely interview questions
- Walk us through your experience taking a machine learning model from prototype to production—what challenges did you encounter?
- How do you approach detecting and handling data distribution shifts that degrade model performance?