Artificial Intelligence/Machine Learning (AI/ML) Engineer 2 TS/SCI w Poly

Peraton; Maryland; On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Heavily subsidized employee benefits

25 days of PTO annually

Attractive bonus plan

Job summary

Peraton in Maryland is seeking a seasoned machine learning professional with expertise in developing algorithms to tackle complex challenges in national security. The ideal candidate will have a Master’s or Ph.D. in a relevant field and at least 5 years of hands-on experience, alongside a TS/SCI clearance.

The position involves designing, testing, and operationalizing solutions that integrate data pipelines and model architecture. Additionally, candidates must demonstrate strong analytical skills and the ability to lead technical teams across various locations.

Qualifications

• Minimum of 5 years of experience in applied machine learning.
• Active TS/SCI with Poly is required.
• Proficiency in model architecture and data pipeline integration.

Responsibilities

• Design and operationalize algorithms for complex business challenges.
• Maintain understanding of application development and data engineering.
• Train, deploy, and monitor models continuously.

Skills

Expert knowledge of multiple programming languages

Experience with ML libraries like PyTorch or TensorFlow

Statistical analysis and data interpretation

Education

Master’s or Ph.D. in Advanced Mathematics, AI, Data Science, Computer Science, or Deep Learning

Bachelor’s degree with 5 years of machine learning experience

Job description

Experience & Education Requirements

• 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.

Benefits

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 eligible to participate in an attractive bonus plan.

Job Responsibilities

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