# AI/ML Engineer \(Active TS/SCI \) - Company: [Rackner]() - Location: Dayton, OH - Team: Engineering - Posted: March 23, 2026 ## Job description **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. ## Apply [Apply on Rackner]() Canonical job page: