> Markdown version of [/jobs/ext/2077225-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/2077225-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** Nou Systems Inc - **Location:** Colorado Springs, CO, United States - **Experience:** Experienced - **Salary:** $100,000.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Code Review, Continuous Integration, Linux, Issue Tracking Systems, Python (Programming Language), Machine Learning, Software Engineering, Systems Integration, Supervised Learning, Data Processing, Pytorch, Large Language Models, Deep Learning, Model Validation, Generative AI, Backend, Gitlab, Containerization, Kubernetes, Information Technology, Machine Learning Operations, Software Version Control, Data Pipelines, Devsecops, Docker - **Published:** August 16, 2026 - **Apply:** https://www.juju.com/job/00000000gn9tgw ## About the Role + 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. + Understanding of core ML and statistical concepts (bias-variance tradeoff, data mismatch, sample sufficiency) + Comfort with self-direction. You'll work with our top technical talent, but we're looking for evidence you can diagnose a problem and approach it strategically. + Experience with Docker, Podman, or similar containerization tools, including editing Dockerfiles or container configuration. + Experience with ML tools (MLflow, Optuna, or PyTorch Lightning) + Experience with RL development using Gymnasium and Ray RLlib. + Experience with LLMs, generative AI tools, vector databases, or frameworks such as LangChain or LlamaIndex. + Familiarity with CI/CD pipelines, Kubernetes, DevSecOps practices, secure artifact repositories, or deployment in restricted DoD environments. ## Description We are looking for a mid-level engineer with strong fundamentals in machine learning, backend software development, and data science. The ideal candidate can collaborate with teammates to move ML capabilities from concept toward usable systems., + 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. ## Related Videos - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [WeAreDevelopers LIVE - Modern DevOps for IoT Devices and More](https://www.wearedevelopers.com/videos/1805-wearedevelopers-live-modern-devops-for-iot-devices-and-more) - [LLMOps-driven fine-tuning, evaluation, and inference with NVIDIA NIM & NeMo Microservices](https://www.wearedevelopers.com/videos/1582-llmops-driven-fine-tuning-evaluation-and-inference-with-nvidia-nim-nemo-microservices) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)