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Senior AI/ML Engineer (SE4) in Dayton, Ohio at Epsilon Systems Solutions, Inc

Job Function: Information TechnologyMinimum Education: Master's Degree
Epsilon Systems Solutions, Inc
Dayton, Ohio, 45400, United States
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Job Description

Senior AI/ML Engineer (SE4)
Job ID: 2026-46
Date Posted: 2026-02-13T00:00:00
Location: Dayton, Ohio
Minimum Experience: 10 years
Education: Master's Degree

Epsilon C5I, a 100% employee-owned company founded in 1998, is seeking a Senior AI/ML Engineer (SE4) to join our team as we advance the State-of-the-Art in artificial intelligence for the intelligence community and autonomy applications. Our products are used to improve our nation’s capability by improving decision making that currently relies on extensive human interaction within the US Air Force, Space Force, and Department of Defense.

If you have a passion for excellence in engineering and enjoy working on challenging projects in a fast-paced, team-oriented environment – read on!

What You’ll Do:

  • Design and train neural networks for various applications

  • Analyze and manipulate multi-dimensional tabular, meta-, and geospatial imagery data

  • Interpret results and compare with truth data

  • Conduct post processing and data reduction

  • Write analysis reports and create briefings

  • Work independently and in a team environment

  • Lead a team of engineers

  • Mentor junior engineers

Required Qualification:

  • Master’s degree in computer science, computer engineering, or related field.

  • Applicants must have an active DoD Top Secret Security Clearance, with SCI eligibility.

  • Pursuant to the various government contractual requirements, all applicants must be U.S. Citizens.

  • 10 years of software engineering experience with a strong background in the following:

    • Collecting labeled data and Neural Network (NN) training

    • Programming: Python, C++, MATLAB, PyTorch, TensorFlow, Keras

    • Satellite imagery, image processing, and geospatial-temporal image data

    • Geospatial Self-Organizing Map (SOM) data

    • Geospatial vector graphics and multi-modal dataset integration

    • Computer vision such as object detection and segmentation

    • Vector embedding, similarity search, and RAG architectures

    • Database schema design and large-scale geospatial data

    • CI/CD, AWS, and ML Ops pipelines

    • Building graph databases

    • Building PostgreSQL databases with vector store (pgVector), audit (pgAudit), edit (pgAdmin), and geographic (PostGIS) capability

    • Acquiring data and data wrangling for NN and transformer training and prompting

    • Graph Neural Network (GNN) frameworks, training GNNs, and extracting embedding vectors and likelihoods

    • Building Vision Transformer framework, training transformers, and extracting embedding vectors and likelihoods

    • Large Language Models (LLM) and implementing templates to guide responses

    • Vision Language Models (VLM) and Visual Question Answering (VQA) – experience with CLIP and LLaVA is a plus

  • Strong problem solving and critical thinking skills.

  • Effective oral and written communication skills.

Why Work for Epsilon C5i?

  • We are a 100% employee-owned company.

  • We have more than 20 locations serving the Department of Defense, Department of Energy, Department of Homeland Security, non-profit and commercial customers.

  • The Dayton division has recently been named as one of only five prime awardees for the 10-year, $4.7 billion NOVASTAR contract supporting the National Air and Space Intelligence Center (NASIC), WPAFB, Ohio

ADA Notations:

  • Regular communication (hearing/speaking).

  • Noise conditions range from very quiet to very noisy.

  • Prolonged use of computer (typing/keyboarding).

  • Frequently required to sit for long periods of time, stand, and walk.

  • Ability to travel by car, air or other means of transportation, if required.


Epsilon Systems Solutions, Inc. is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.

Job Location

Dayton, Ohio, 45400, United States

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