Dayton TS/SCI AI/ML Engineer: Impactful Models

Peerless Technologies; Dayton (OH); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

Peerless Technologies in Dayton, OH seeks an AI/ML engineer with active TS/SCI clearance to develop discriminative and generative AI/ML models for NASIC missions. You will build user interfaces and metadata exchange interfaces, coordinating with SMEs and the AI/ML Services Product Owner.

In-person role with relocation assistance possible. You will apply ML methodologies across regression, classification, clustering, neural nets, and feature engineering, while leveraging TensorFlow, PyTorch, or

Qualifications

• US Citizen required.
• Active TS/SCI security clearance.
• IAT Level II certification or higher.
• Bachelor's degree in a quantitative field.
• Strong programming in Python, Matlab, or C++.
• Experience with ML APIs (TensorFlow, PyTorch, Keras).
• Experience administering VDI platforms (AVD, AWS Workspaces, Horizon).
• In person in Dayton, relocation assistance possible.
• Excellent communication, collaboration and problem‑solving skills.
• Ability to work independently and own project segments.

Responsibilities

• Develop discriminative and generative AI/ML models to support NASIC analytic missions.
• Identify discoveries on AI/ML model utilization, availability and data access.
• Develop web interfaces for exchange of AI/ML information across NASIC.
• CONOPS development, SOP creation, technical white papers, strategic recommendations.

Skills

AI/ML engineering

Python

Matlab

C++

Strong communication

Independent ownership

Education

Bachelor's Degree in Physics, Engineering, Computer Science, Statistics, or related field

IAT Level II certification or higher

Tools

TensorFlow

PyTorch

Keras

VDI platforms (AVD / AWS Workspaces / Horizon)

Job description

Peerless Technologies in Dayton, OH seeks an AI/ML engineer with active TS/SCI clearance to develop discriminative and generative AI/ML models for NASIC missions. You will build user interfaces and metadata exchange interfaces, coordinating with SMEs and the AI/ML Services Product Owner.

In-person role with relocation assistance possible. You will apply ML methodologies across regression, classification, clustering, neural nets, and feature engineering, while leveraging TensorFlow, PyTorch, or