AI/ML Engineer (Active TS/SCI )

Job Title: AI/ML Engineer

• Location: Dayton, OH
• Employment Type: Full-Time

Clearance requirements: TS/SCI

About the Role

Rackner is seeking a highly skilled AI/ML Engineer to design, develop, and deploy advanced machine learning solutions that support mission-critical systems. This role will focus on building scalable models, developing training pipelines, and collaborating with cross-functional teams to deliver impactful AI-driven solutions.

Key Responsibilities

Design, develop, and implement machine learning and deep learning models

Build and optimize model architectures including CNNs, RNNs, and transformer-based models

Develop and deploy Large Language Models (LLMs) and object detection systems (e.g., YOLO, Faster R-CNN)

Perform feature engineering and prepare high-quality datasets for training and evaluation

Create and maintain AI/ML training runbooks and documentation

Collaborate with data engineers and software teams to integrate models into production systems

Ensure reproducibility through data versioning and metadata standards

Continuously evaluate and improve model performance and scalability

Required Qualifications

Strong proficiency in designing and implementing model architectures, including:

Convolutional Neural Networks (CNNs)

Recurrent Neural Networks (RNNs)

Transformer-based architectures

Large Language Models (LLMs)

Object Detection models (e.g., YOLO, Faster R-CNN)

Hands-on experience with:

PyTorch and/or TensorFlow

Hugging Face, Ollama, or similar frameworks

Experience with data engineering concepts, including:

Feature engineering and dataset preparation

Data versioning tools (e.g., lakeFS)

Metadata standards such as STAC

Ability to create clear and effective AI/ML training runbooks

Strong problem-solving skills and ability to work in a collaborative environment

Preferred Qualifications

Experience deploying models in cloud-native environments

Familiarity with DevSecOps practices

Experience working with large-scale or federal datasets

Understanding of MLOps principles and pipelines

Benefits & Perks

Weekly pay with full remote flexibility

Professional growth investment, including paid certifications and training

Comprehensive benefits package, including:

Medical, dental, and vision coverage

401(k) with 100% company match up to 6%

Paid time off (PTO)

Life and disability insurance

Home office equipment plan

A supportive, inclusive team culture focused on collaboration, trust, and mission impact

About Rackner

Rackner is a cloud-native software consultancy delivering solutions for startups, enterprises, and the public sector.

We enable digital transformation through DevSecOps, AI/ML, and cloud-first innovation.

Our teams solve high-impact problems that advance federal missions and strengthen national readiness.

Join us to help shape the future of secure, scalable data systems supporting mission success.