SCI w Poly

Peraton•Laurel, MD

100d•$135,000 - $216,000

About The Position

Peraton is hiring an Artificial Intelligence/Machine Learning (AI/ML) Engineer to design, develop, test, and operationalize algorithms for complex business challenges and mission requirements. The role builds models that learn from data and generate predictions aligned with customer-defined business logic and operational needs. It requires proficiency in model architecture, data pipeline integration, and interpreting and presenting performance metrics, along with foundational knowledge of application development, infrastructure management, data engineering, and data governance. The engineer trains, retrains, deploys, schedules, monitors, and continually improves models in response to user and system feedback, delivering scalable, high-performance solutions. The position may involve leading geographically distributed teams and frequently serving as the primary technical point of contact. An active TS/SCI with Poly is required.

Requirements

Minimum of 5 years of experience in applied machine learning on programs or contracts of similar scope, type, and complexity.
Master’s or Ph.D. degree from an accredited college or university in Advanced Mathematics, Artificial Intelligence, Data Science, Computer Science, or Deep Learning.
A relevant bachelor’s degree plus 5 additional years of machine learning experience may be substituted for a master’s degree.
Active TS/SCI with Poly clearance.
Experience working with various ML libraries, packages, and frameworks.
Experience with standard machine learning frameworks such as PyTorch or TensorFlow.

Nice To Haves

Expert knowledge of multiple programming languages, such as Python, Java, C, or R.

Responsibilities

Design, develop, test, and operationalize algorithms for business challenges and mission requirements.
Build models that learn from data and generate predictions aligned with customer-defined business logic and operational needs.
Integrate models with data pipelines and apply, interpret, and present performance metrics.
Train, retrain, deploy, schedule, monitor, and continuously improve models based on iterative user and system feedback.
Design or select appropriate data and knowledge representation methods.
Apply software architecture, data modeling, and data structure principles.
Transform data science prototypes into scalable production solutions.
Provide system integration oversight.
Select appropriate datasets and perform statistical analysis and data interpretation.
Run, evaluate, and optimize machine learning algorithms using analytical results.
Research and implement a broad range of AI/ML algorithms and tools.
Verify data integrity and model output quality, and identify data distribution differences that may affect model performance.
Run standard testing and evaluation protocols and oversee iterative testing and evaluation of AI/ML algorithms.
Ensure solutions meet verification and validation requirements.
May lead geographically distributed teams and serve as the primary point of contact for related technical matters.

Benefits

Heavily subsidized employee benefits coverage for employees and dependents supporting the critical National Security program.
25 days of PTO accrued annually, up to a generous PTO cap.
Eligibility to participate in a bonus plan.
Enhanced professional development opportunities may be available, including training, certification programs, and skill-building experiences tailored to individual strengths, career goals, and role-specific requirements.
Medical, dental, vision, life, and health savings account benefits.
Short- and long-term disability coverage.
Employee Assistance Program (EAP).
Parental leave.
401(k).
Paid time off for vacation.
Company-paid holidays.