Artificial IntelligenceMachine Learning (AIML) Engineer 2 TSSCI w Poly
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Job Location:
Laurel, MD - USA
Monthly Salary:
$ 176000 - 282000
Posted on:
3 days ago
Vacancies:
1 Vacancy
Job Summary
Responsibilities
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
Qualifications
Experience & Education Requirements
- Minimum of 5 years of experience in applied machine learning on programs/contracts of similar scope type and complexity
- Masters 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 Bachelors degree plus 5 additional years of machine learning experience may be substituted for a Masters 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 eligible to participate in an attractive bonus plan.
#MDFSP #MPOJobs #AJCM #PeratonRoyalMove
Peraton Overview
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 worlds 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 do the cant be done by solving the most daunting challenges facing our customers. Visit to learn how were keeping people around the world safe and secure.
Target Salary Range
EEO
Required Experience:
IC
About Company
Peraton provides innovative solutions for the most sensitive and critical programs in government today, developed and executed by scientists, engineers, and other experts.
