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# Junior AI Engineer

- **Company:** Nou Systems Inc
- **Location:** Huntsville, AL, United States
- **Experience:** Starter
- **Contract:** Internship / Graduate position
- **Skills:** Artificial Intelligence, Continuous Integration, DevOps, Python (Programming Language), Machine Learning, Remote Access Technology, OpenAI, Tensorflow, Software Engineering, Reinforcement Learning, Supervised Learning, Graph Neural Networks, Pytorch, Large Language Models, Deep Learning, Gitlab, Git, SC Clearance, Machine Learning Operations, Docker
- **Published:** October 15, 2026
- **Apply:** https://www.thejobnetwork.com/job/e4c68f70-3459-42b6-9ae2-e86c09d9f7a3/junior-ai-engineer

## About the Role

* Bachelor's degree in a STEM field.
 * Academic, internship, or professional experience with AI development (RL, XAI, LLM)
 * 1-3 years of hands-on experience with deep learning models (supervised, unsupervised, and reinforcement learning) using PyTorch, Tensorflow, or Jax.
 * You must possess or can obtain an active Secret clearance.

This is a junior level position. We are looking for hands-on experience with deep learning models as well as software development fundamentals in Python. We are looking for great written and verbal communication skills. We are looking for someone who is a team player and is glad to work on a variety of machine learning projects as opportunity presents., * Ability to write clean deep learning code in Python.

 * Ability and mindset to approach problems with statistical rigor.
 * Strong intellectual curiosity. Our solutions often require creative implementations and combinations of state-of-the-art methodology.
 * 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 independently.
 * Experience with time series data, satellite imagery, and graph neural networks.
 * Experience with RL development using OpenAI Gymnasium and Ray RLlib.
 * Experience with RL algorithms, including Q-Learning and Actor-Critic methods.
 * Experience with MLOps tools (PyTorch Lightning, Optuna, MLflow, etc.).
 * Experience with DevOps tools (Git, Gitlab, CI/CD, Remote Computing, Docker)

## Description

You'll develop, train, and analyze machine learning models for supervised learning and reinforcement learning. You'll work on a mix of projects, some of which will include other data scientists, others of which will require you to help educate non-data-science teams on the value and limitations of machine learning solutions. You will:

 * Help identify and design training data sets.
 * Implement and customize ML models from open literature.
 * Develop MLOps pipelines.
 * Visualize and communicate your results in written documents and oral presentations.
 * You'll support multiple teams and must be able to work effectively with other teammates.