AI/ML Engineer — Active TS/SCI | Dayton, OH

Rackner; Dayton (OH); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Certifications & training

401(k) match

Comprehensive benefits

PTO & holidays

Remote-work support

Job summary

Rackner is seeking an AI/ML Engineer to build, integrate, and operationalize AI capabilities supporting a high‑impact federal mission in Dayton, OH. You will work across the AI lifecycle from model development and evaluation through software integration, AI services, and user enablement.

This role offers broad ownership, collaboration with mission teams, and opportunities to shape technical approaches as AI moves from experimentation to secure, scalable mission use.

Qualifications

• Hands-on foundation in applied ML/AI engineering beyond notebooks.
• Proficiency with Python and major ML frameworks (PyTorch, TensorFlow).
• Experience across AI lifecycle: model development, integration, and deployment.

Responsibilities

• Build and evaluate ML, DL, and GenAI solutions for mission use cases.
• Develop and integrate AI/ML capabilities across software, APIs, services, and data pipelines.
• Assess models and data for feasibility, access, and mission value.
• Enable GenAI capabilities through repeatable workflows, interfaces, services, and access controls.
• Prepare and curate datasets for training, evaluation, testing, and AI workflows.
• Translate prototypes into usable capabilities addressing performance, scalability, and deployment.
• Develop interfaces and services for interacting with AI/ML capabilities and metadata.
• Collaborate with software, data, leadership, product stakeholders, and SMEs.
• Create technical documentation, runbooks, and repeatable processes for adoption.
• Evaluate deployed capabilities using user feedback to improve utility.

Skills

Computer vision

Natural language processing

Generative AI

GenAI & LLMs

Predictive modeling

Object detection

Modeling & simulation

Hugging Face

Ollama

Docker

AWS

Azure

Tools

Python

PyTorch

TensorFlow

APIs & microservices

Cloud deployments

Job description

• Computer vision

AI/ML Engineer

Location: Dayton, OH

Clearance: Active TS/SCI required

Build AI That Moves From Model to Mission

Rackner is seeking an AI/ML Engineer to build, integrate, and operationalize artificial intelligence and machine learning capabilities supporting a high-impact federal mission.

In this role, you will work across the AI lifecycle — from model development and evaluation through software integration, AI services, and user enablement. You will help turn emerging AI capabilities into practical tools that analysts, developers, and mission teams can use.

This is a strong fit for an engineer who wants broader ownership than training models in isolation. You will have opportunities to shape technical approaches, work directly with the people using the capability, and help determine how AI moves from experimentation into secure, scalable mission use.

The work supports a customer environment in Dayton, Ohio. Onsite and hybrid expectations are still being finalized, so candidates should be prepared to discuss their ability to support work in Dayton if required. Strong qualified candidates outside the area may also be considered while those requirements are being finalized.

Because this work supports a federal customer, an active TS/SCI clearance is required.

What You'll Do

• Build and evaluate machine learning, deep learning, and generative AI solutions for real-world mission use cases
• Develop and integrate AI/ML capabilities across software applications, APIs, services, data pipelines, and existing technical environments
• Assess models and data to determine suitability, availability, access requirements, technical feasibility, and potential mission value
• Enable LLM and GenAI capabilities through repeatable workflows, interfaces, services, and approved access mechanisms
• Prepare and curate datasets for model training, evaluation, testing, and operational AI workflows
• Translate prototypes into usable capability by addressing performance, scalability, reproducibility, integration, and deployment
• Develop interfaces and services that allow applications and users to interact with AI/ML capabilities and associated model or provider metadata
• Partner with software engineers, data engineers, technical leadership, product stakeholders, and subject‑matter experts
• Create technical documentation, implementation guidance, runbooks, and repeatable processes that support adoption and sustainment
• Evaluate deployed capabilities and use technical and user feedback to improve performance and mission utility

What We're Looking For

You bring a strong hands‑on foundation in applied machine learning or AI engineering and can demonstrate work that progressed beyond theoretical exercises or isolated notebooks.

You should be comfortable developing software — preferably with Python — and working with a major ML framework such as PyTorch, TensorFlow, or comparable technologies.

Your technical background may be strongest in areas such as:

• Computer vision
• Natural language processing
• Generative AI and Large Language Models
• Predictive modeling
• Object detection or classification
• Modeling and simulation
• Other applied machine learning domains

You do not need to be an expert in every area.

Strong candidates will be able to clearly explain what they built, what they personally owned, why they made particular technical decisions, how they evaluated the result, and how the capability ultimately reached its users.

You should also be comfortable working with datasets used for model development and evaluation and collaborating across software, data, systems, and mission teams.

Preferred Background

Additional value may come from hands‑on work with:

• Hugging Face, Ollama, or comparable GenAI and model tooling
• APIs, microservices, or AI service integration
• Docker, containers, or cloud‑native deployment
• AWS, Azure, or similar cloud environments
• DevSecOps or MLOps practices
• Model or data versioning and reproducible AI workflows
• Metadata management and model/provider catalogs
• Production AI/ML pipelines
• Large‑scale, sensitive, or regulated datasets
• Federal, DoD, Intelligence Community, or similarly controlled technical environments
• Direct collaboration with mission users, product owners, technical leadership, or government stakeholders

About Rackner

Rackner is a software consultancy focused on building mission‑critical systems for the U.S. government.

Our teams work across cloud platforms, DevSecOps, AI/ML, data systems, and modern software engineering initiatives supporting federal agencies and national security missions.

Rackner engineers and technical teams collaborate closely with leadership, program teams, and mission stakeholders to design, deliver, and improve systems that address complex operational challenges.

Benefits & Perks

At Rackner, we believe that when our people grow, our company grows with them. We support continued learning, professional development, and meaningful opportunities to contribute across mission‑focused programs.

Benefits include company‑supported certifications aligned with current and future program work; advancement and leadership opportunities; a 401(k) with 100% match up to 6%; comprehensive medical, dental, vision, life, and disability coverage; generous PTO and paid holidays; and home‑office equipment and remote‑work support, where applicable.

• company‑supported certifications aligned with current and future program work
• advancement and leadership opportunities
• a 401(k) with 100% match up to 6%
• comprehensive medical, dental, vision, life, and disability coverage
• generous PTO and paid holidays
• and home‑office equipment and remote‑work support, where applicable

Equal Opportunity

Rackner is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.