Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Peraton
About Peraton Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace.
The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we're keeping people around the world safe and secure.
Program Overview
Provides IC data management support to modernize mega data repositories, dataflow management, data provenance and compliance validation, and streaming solutions.
About The Role ]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-(--header-height)" dir="auto" data-turn-id="789f3bea-1fef-47a1-ba79-b9a0db8bd825" data-turn-id-container="789f3bea-1fef-47a1-ba79-b9a0db8bd825" data-testid="conversation-turn-11" data-scroll-anchor="false" data-turn="user">
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. ]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto" data-turn-id="request-WEB:7eabf6c7-753d-4c71-aa4a-3208e8113c82-7" data-turn-id-container="request-WEB:7eabf6c7-753d-4c71-aa4a-3208e8113c82-7" data-testid="conversation-turn-12" data-scroll-anchor="false" data-turn="assistant"> 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 oversightCore 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
Qualifications 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.
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Source: Peraton careers