Skip to main content

Wyetech

Artificial Intelligence Machine Learning

Annapolis Junction, Marylandartificial intelligence (full-time)midAdded today

About this role

Wyetech seeks an AI/ML professional to develop cutting-edge solutions for federal government clients in a security-cleared environment. You'll work on impactful projects within a high-performing culture focused on solving complex, real-world challenges.

What you'll do

  • Design and develop machine learning models and AI systems for federal applications
  • Collaborate with cross-functional teams to translate requirements into technical solutions
  • Conduct data analysis and algorithm optimization for production systems
  • Document technical approaches and maintain code quality standards
  • Support security compliance and clearance requirements throughout the project lifecycle

What they're looking for

  • Machine learning frameworks and libraries (TensorFlow, PyTorch, scikit-learn)
  • Python or other relevant programming languages
  • Data preprocessing and feature engineering
  • Statistical analysis and model evaluation
  • Cloud platforms or high-performance computing environments
  • Version control and collaborative development
  • Security-conscious coding practices

Benefits

  • Award-winning corporate culture and employee experience
  • Work on high-impact federal government projects
  • Professional growth within a best-in-class organization
  • Security clearance sponsorship and support
Apply on the employer's site

Opens the official application on the employer’s site. No login required.

Wyetech

Wyetech builds cloud infrastructure, cybersecurity solutions, and advanced software systems for federal government clients, leveraging AWS, Kubernetes, machine learning, and cyber range technologies. The company is hiring Cloud Platform Engineers, DevOps Engineers, Software Engineers, and Test Engineers to develop and maintain these mission-critical systems.

View all jobs at Wyetech

Likely interview questions

  • Describe a machine learning project you led from data collection through production deployment—what were the key challenges?
  • How do you approach feature engineering and model selection for a new problem?