AI/ML Engineer (Active TS/SCI )

Rackner; Dayton (OH); Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

401(k) with company match up to 6%

Paid time off (PTO)

Life and disability insurance

Home office equipment plan

Job summary

Rackner, located in Dayton, OH, is looking for an AI/ML Engineer to design, develop, and deploy advanced machine learning solutions. This role is essential for building scalable models and developing training pipelines for mission-critical systems. Candidates should be proficient in model architecture design and have hands-on experience with frameworks like PyTorch and TensorFlow.

Rackner fosters a collaborative team culture with an emphasis on impactful AI projects that advance federal missions and national readiness.

Qualifications

• Strong proficiency in designing and implementing model architectures, including transformer-based architectures.
• Experience with data engineering concepts, including feature engineering and dataset preparation.
• Ability to create clear and effective AI/ML training runbooks.

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.

Skills

Designing and implementing model architectures

Hands-on with PyTorch

Experience with Hugging Face

Data versioning tools

Strong problem-solving skills

Tools

PyTorch

TensorFlow

lakeFS

Job description

Overview

Location: Dayton, OH and Remote

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 focuses on building scalable models, developing training pipelines, and collaborating with cross-functional teams to deliver impactful AI-driven solutions.

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 transformer-based architectures
• Hands-on experience with PyTorch and/or TensorFlow
• Experience with 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
• Professional development benefits including paid certifications and training
• Medical, dental, and vision coverage
• 401(k) with company match up to 6%
• Paid time off (PTO)
• Life and disability insurance
• Home office equipment plan
• A collaborative, inclusive team culture focused on 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.

Equal Employment Opportunity

Rackner is an equal opportunity employer. We do not discriminate on the basis of any protected status under applicable law.