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Wyetech

Artificial Intelligence (Al)/Machine Learning Engineer 2

Annapolis Junction, Marylandsoftware engineering (full-time)midAdded today

About this role

Wyetech seeks an AI/Machine Learning Engineer 2 to develop cutting-edge solutions for federal government customers in Annapolis Junction, Maryland. This role requires US citizenship and an active TS/SCI security clearance with polygraph, offering the opportunity to work on impactful technological challenges within a highly regarded corporate culture.

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
  • Implement and optimize algorithms for performance and scalability
  • Conduct data analysis and feature engineering for model improvement
  • Document technical implementations and maintain code quality standards
  • Support deployment and integration of AI/ML solutions in production environments

What they're looking for

  • Machine learning frameworks (TensorFlow, PyTorch, scikit-learn)
  • Python and/or Java programming
  • Data analysis and statistical methods
  • Deep learning and neural networks
  • Algorithm design and optimization
  • SQL and database management
  • Cloud platforms (AWS, Azure, GCP)
  • Software engineering best practices

Benefits

  • Award-winning corporate culture
  • Unique and competitive employee experience
  • Opportunity to work on high-impact federal projects
  • Professional growth and development
  • Security clearance sponsorship consideration
  • Collaborative team environment
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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.

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Likely interview questions

  • Describe your experience developing machine learning models in production environments and how you handled deployment challenges.
  • What machine learning frameworks are you most proficient with, and can you walk through a complex model you've built?
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