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Artificial Intelligence/Machine Learning (AI/ML) Engineer 2 TS/SCI w Poly
- Laurel, Maryland, United States
- Laurel, Maryland, United States
Über
Minimum of 5 years of experience in applied machine learning on programs/contracts of similar scope, type, and complexity
Master’s or Ph.D. degree in one of the following from an accredited college or university:
Advanced Mathematics
Artificial Intelligence
Data Science
Computer Science
Deep Learning
A relevant Bachelor’s degree plus 5 additional years of machine learning experience may be substituted for a Master’s degree.
An active TS/SCI with Poly is required.
Desired Qualifications
Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, is desired.
Peraton offers enhanced benefits to employees working on our critical National Security programs, which include heavily subsidized employee benefits coverage for you and your dependents, 25 days of PTO accrued annually up to a generous PTO cap, and eligibility to participate in an attractive bonus plan.
Designs, develops, tests, and operationalizes algorithms to solve complex business challenges and mission requirements. Models are built to learn from data and generate predictions aligned with customer-defined business logic and operational needs.
Demonstrates proficiency across model architecture, data pipeline integration, and the application, interpretation, and presentation of performance metrics. Maintains a strong understanding of foundational concepts in application development, infrastructure management, data engineering, and data governance.
Responsible for training, retraining, deploying, scheduling, monitoring, and continuously improving models based on iterative user and system feedback to deliver scalable, high-performance solutions. May lead geographically distributed teams and frequently serve as the primary point of contact for related technical matters, requiring strong analytical thinking, problem-solving ability, and exceptional communication skills.
Technical & Engineering Expertise
Experience working with various ML libraries, packages, and frameworks
Experience with standard machine learning frameworks such as: PyTorch or TensorFlow
Design or select appropriate data and knowledge representation methods
Recognize and apply software architecture, data modeling, and data structure principles
Transform data science prototypes into scalable production solutions
Provide system integration oversight
Core AI/ML Capabilities
Select appropriate datasets for machine learning applications
Perform statistical analysis and data interpretation
Run and evaluate machine learning algorithms
Use analytical results to improve and optimize models
Train and retrain systems as required
Research and implement a broad range of AI/ML algorithms and tools
Verify data integrity and model output quality
Identify data distribution differences that may impact model performance
Testing, Evaluation & Validation
Run standard testing and evaluation protocols
Oversee testing and evaluation of AI/ML algorithms through iterative design processes
Ensure solutions meet verification and validation requirements
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Sprachkenntnisse
- English
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