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.