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Mid-Level AI Engineer

Job in Colorado Springs, El Paso County, Colorado, 80509, USA
Listing for: ADP, Inc.
Full Time position
Listed on 2026-10-10
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 125000 - 200000 USD Yearly USD 125000.00 200000.00 YEAR
Job Description & How to Apply Below

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Mid-Level AI Engineer

Boston MA, Lexington, MA, US

Salary Range: $ To $ Annually

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 market spaces. You will be part of a team designing machine learning solutions from the lab to the field.

Responsibilities:

You will develop, train, and analyze AI/ML systems such as deep reinforcement learning (DRL) analytics, explainability (XAI), adversarial machine learning methods, and model interpretability tools. You will strategically plan projects and architect elegant solutions. 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:

  • Architect AI solutions and navigate difficult tradeoffs.
  • Help identify and design training data sets.
  • Implement and customize AI models from open literature.
  • 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.
  • You’ll support multiple teams and must be able to work effectively with other teammates.

Basic Qualifications:

  • 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.

This is a mid-senior level position. We are looking for extensive hands-on experience with deep learning models. We expect strong software development fundamentals in Python and the ability to organize a team to work efficiently. This position requires technical ingenuity, intellectual curiosity, hands on engineering ability, and a passion for building tangible products. We appreciate engineers who are resourceful and creative problem solvers.

We are looking for great written and verbal communication skills and the ability to interface with customers. We are looking for someone who is a team player and is glad to lead a variety of AI projects as opportunity presents.

Lacking any of these disqualifies you from this job.

Preferred Qualifications:

  • 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 Dev Ops tools (Git, Gitlab, CI/CD, Remote Computing, Docker)
  • Experience with time series data, satellite imagery, and graph neural networks.
  • Experience…
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