AI/ML Engineer 3 — TS/SCI/Poly, Production Models

Peraton

Maryland

On-site

USD 140,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Heavily subsidized benefits coverage
25 days PTO
Bonus plan eligibility
Professional development opportunities

Job summary

Peraton seeks multiple Artificial Intelligence/Machine Learning (AI/ML) Engineers to design, develop, test, and operationalize algorithms for mission needs. Models learn from data to generate predictions aligned with client requirements.

Responsibilities include training, deployment, monitoring, and continuous improvement of models, with leadership for geographically distributed teams and strong communication skills.

Qualifications

  • Master’s or Ph.D. in Advanced Mathematics / AI / Data Science / Computer Science / Deep Learning.
  • Bachelor’s degree plus 5 years of machine learning experience may substitute a Master’s degree.
  • Active TS/SCI with Poly is required.
  • Minimum of 5 years of experience in applied machine learning on programs/contracts of similar scope, type, and complexity.

Responsibilities

  • Designs, develops, tests, and operationalizes algorithms to solve complex business challenges and mission requirements.
  • Builds models to learn from data and generate predictions aligned with customer-defined business logic.
  • Train, retrain, deploy, schedule, monitor, and improve models based on feedback.
  • Lead geographically distributed teams and act as primary technical contact.

Skills

Python
Java
C
R

Education

Master’s or Ph.D. in Advanced Mathematics / AI / Data Science / CS / Deep Learning
Bachelor’s degree + 5 years ML experience (substitution)

Tools

PyTorch
TensorFlow

Job description

Peraton seeks multiple Artificial Intelligence/Machine Learning (AI/ML) Engineers to design, develop, test, and operationalize algorithms for mission needs. Models learn from data to generate predictions aligned with client requirements.

Responsibilities include training, deployment, monitoring, and continuous improvement of models, with leadership for geographically distributed teams and strong communication skills.

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