Skip to main content

Wyetech

Software Engineer 2 (Hybrid)

Laurel, Marylandsoftware developer (full-time)midAdded today

About this role

A Software Engineer 2 at Wyetech will operationalize machine learning models for video, image, speech, and text analytics, transitioning them from research prototypes into production-ready inference services deployable on Kubernetes. Working in a hybrid role based in Laurel, Maryland, you'll enable downstream engineering teams to integrate and run these advanced analytics solutions.

What you'll do

  • Deploy and optimize VISTA (video, image, speech, text analytics) ML models from prototype stage to production inference services
  • Configure and manage model serving on Kubernetes and similar container orchestration platforms
  • Collaborate with research and SDK teams to ensure models meet production requirements and scalability standards
  • Support downstream engineering teams in integrating and running deployed analytics services
  • Troubleshoot and maintain production ML inference pipelines
  • Document deployment processes and create runbooks for model serving infrastructure

What they're looking for

  • Machine learning model deployment and containerization
  • Kubernetes and container orchestration
  • Python or similar ML-focused programming languages
  • Software engineering and production-ready code practices
  • API design for ML inference services
  • CI/CD pipelines and DevOps practices
  • Linux systems administration
  • Familiarity with ML frameworks (TensorFlow, PyTorch, etc.)

Benefits

  • $5,000 performance bonus
  • 20% SEP IRA contribution
  • 25% remote work flexibility (hybrid arrangement)
  • Award-winning corporate culture
  • Federal government contract work
Apply with Autofill

Opens the application — the Jobs AI extension fills it for you. Set up autofill

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 your experience deploying machine learning models to production environments. What challenges did you encounter?
  • How have you used Kubernetes to manage and scale inference services?
Unlock all 7 questions free — and practice them live →