Artificial Intelligence/Machine Learning Engineer 1 Top Secret/SCI w/Poly
Peraton
About the Role
Peraton is seeking an Artificial Intelligence/Machine Learning (AI/ML) Engineer to design, develop, test, and deploy AI/ML algorithms to address complex business challenges and mission requirements. Develops models capable of learning from data, generating accurate predictions, and aligning with customer-defined business logic and operational objectives. Demonstrates expertise in model architecture, data pipeline integration, and the application, interpretation, and presentation of performance metrics. Maintains a strong understanding of application development, infrastructure management, data engineering, and data governance principles to support scalable and efficient AI/ML solutions. May lead geographically distributed teams and frequently serve as a primary point of contact for AI-related initiatives. Requires strong analytical thinking, problem-solving abilities, and exceptional written and verbal communication skills.
Key Responsibilities
- Select appropriate data sets.
- Perform statistical analysis.
- Run machine learning algorithms.
- Use results to improve models.
- Train and retrain systems when needed.
- Run standard test and evaluation protocols.
- Provide system integration oversight.
- Train, retrain, deploy, schedule, monitor, and improve models based on iterative user and system feedback to support designing and creating scalable solutions for optimal performance.
Requirements & Tech Stack
- Bachelor of Science degree in Advanced mathematics (e.g., calculus, linear algebra, Bayesian statistics), Computer Science or related STEM discipline from an accredited college or university.
- In lieu of a bachelor's degree, 4 (6 years total) additional years of machine learning experience on similar projects may be substituted.
- 0 years of experience with a MS/MA.
- Experience in working with various ML libraries and packages.
- Minimum TS/SCI required. Ability to obtain/maintain TS/SCI with Poly is required to start.
- Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, is desired.
Qualifications
- Minimum TS/SCI required. Ability to obtain/maintain TS/SCI with Poly is required to start.
- Experience training, retraining, deploying, scheduling, monitoring, and improving models based on iterative user and system feedback is required.