Mid-Level AI Engineer

Nou Systems Inc•Huntsville, AL

11h•$125,000 - $200,000

About The Position

nou Systems, Inc. (nSI) is a 100% employee-owned company! We value teamwork and collaboration, and this transition allows us to take that commitment to a new level. nSI empowers our customers by supplying products, services, and expertise with powerful, data driven insights that transform defense systems and improve capabilities. We are pleased to announce the opening for an AI Engineer who will join our Technical Solutions division and become part of our rapidly growing technology company operating in missile defense, cybersecurity, test range modernization, biotechnology, and space control marketspaces. You will be part of a team designing machine learning solutions from the lab to the field.

Requirements

A master’s degree in computer science, math, physics, or a related field (or bachelor’s degree plus 2 additional years of experience).
Strong intellectual curiosity. Our solutions often require creative implementations and combinations of state-of-the-art methodology.
Ability to identify, understand, and apply relevant research literature
You must possess or can obtain an active Secret clearance.
Extensive hands-on experience with deep learning models.
Strong software development fundamentals in Python.
Ability to organize a team to work efficiently.
Technical ingenuity, intellectual curiosity, hands on engineering ability, and a passion for building tangible products.
Resourceful and creative problem solvers.
Great written and verbal communication skills and the ability to interface with customers.
Team player and is glad to lead a variety of AI projects as opportunity presents.

Nice To Haves

Excellent understanding of the statistical foundations of machine learning.
Ability to cleanly structure machine learning projects in Python.
Experience with deep learning models (supervised, unsupervised, and reinforcement learning) using PyTorch, Tensorflow, or Jax.
Experience with MLOps tools (PyTorch Lightning, Optuna, MLflow, etc.)
Experience deploying and maintaining AI models in production.
Experience with DevOps tools (Git, Gitlab, CI/CD, Remote Computing, Docker)
Experience with time series data, satellite imagery, and graph neural networks.
Experience leading AI projects that require multidisciplinary solutions.
Demonstrated experience explaining technical concepts and data analysis results to non-specialist audiences, both through written documents and oral presentations.
Experience participating in SBIR or STTR projects or similar research programs
Experience working in a fast paced environment with rapid prototyping

Responsibilities

Develop, train, and analyze AI/ML systems such as deep reinforcement learning (DRL) analytics, explainability (XAI), adversarial machine learning methods, and model interpretability tools.
Strategically plan projects and architect elegant solutions.
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.
Architect AI solutions and navigate difficult tradeoffs.
Help identify and design training data sets.
Implement and customize AI models from open literature.
Develop MLOps pipelines.
Visualize and communicate your results in written documents and oral presentations.
Brief technical concepts and results to non-specialist audiences.
Bring in new work to the Technical Solutions division through proposals and conferences.
Help develop junior engineers. You will add value beyond your own technical contributions.
Support multiple teams and must be able to work effectively with other teammates.