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Machine Learning Engineer
nou Systems, Inc.
Colorado Springs, USA
Full-time
Mid · 3+ years experience
Onsite
USD 100000-160000 yearly / year
Discovered 1 weeks ago
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Responsibilities
- Develop, train, evaluate, and analyze machine learning models using Python and PyTorch, writing modular, maintainable, and testable code.
- Build backend software components that support ML workflows, data processing, model evaluation, and system integration.
- Help identify, prepare, and validate training and evaluation datasets.
- Implement and adapt ML methods from open literature, including supervised learning and deep learning approaches.
- Work in Linux-based, containerized development environments using VS Code Dev Containers, Remote-SSH, Docker/Podman, and contribute to continuous improvement of development processes.
- Use GitLab-based workflows for source control, issue tracking, merge requests, code review, and collaboration.
- Communicate technical results clearly through written documentation, presentations, and team discussions.
- Support multiple project teams and help translate ML concepts into practical engineering solutions.
Basic Qualifications
- Bachelor’s degree in computer science, mathematics, software engineering, data science, or a closely related technical field.
- 3+ years of professional experience in machine learning, data science, or backend software development.
- Hands-on experience developing, training, or evaluating deep learning models using PyTorch.
- Professional experience building backend software, data pipelines, APIs, or system integration components.
- U.S. citizenship and the ability to obtain a Secret security clearance.
Preferred Qualifications
- Strong communication skills, intellectual curiosity, and comfort working across ML, software, and mission-domain teams. Our work often requires creative, multidisciplinary approaches.
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