AI/ML Engineer (TS/SCI) - Remote

About The Company

Rackner is a leading cloud-native software consultancy dedicated to delivering innovative solutions for startups, large enterprises, and government agencies. Our core focus is on enabling digital transformation through advanced DevSecOps practices, artificial intelligence and machine learning (AI/ML), and cloud-first strategies. We are committed to solving high-impact problems that support federal missions, enhance national security, and drive technological progress. Our team is composed of highly skilled professionals who thrive in collaborative, inclusive environments, working to develop scalable, secure, and mission-critical data systems that make a difference. At Rackner, we prioritize continuous learning, professional growth, and fostering a culture of trust and innovation, ensuring our clients and employees stay ahead in a rapidly evolving digital landscape.

About The Role

We are seeking a highly skilled AI/ML Engineer to join our team in Dayton, OH, with the flexibility of remote work. In this role, you will be responsible for designing, developing, and deploying advanced machine learning solutions that support mission-critical systems. Your expertise will contribute to building scalable models, developing training pipelines, and collaborating closely with data engineers, software developers, and other stakeholders to deliver impactful AI-driven solutions. The ideal candidate will have a strong background in deep learning architectures, model deployment, and data engineering, with a focus on supporting federal and enterprise-level projects requiring TS/SCI clearance. This position offers an excellent opportunity to work on cutting-edge AI/ML initiatives that directly impact national security and technological advancement.

Qualifications

• Proficiency in designing and implementing model architectures including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and transformer-based models
• Experience working with Large Language Models (LLMs) and object detection systems such as YOLO and Faster R-CNN
• Hands-on experience with PyTorch and/or TensorFlow frameworks
• Familiarity with Hugging Face, Ollama, or similar AI/ML frameworks
• Knowledge of data engineering concepts, including feature engineering, dataset preparation, and data versioning tools like lakeFS
• Understanding of metadata standards such as STAC
• Ability to create clear and comprehensive AI/ML training runbooks and documentation
• Strong problem-solving skills and the ability to work collaboratively within cross-functional teams
• Active TS/SCI security clearance or the ability to obtain one
  
  

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Responsibilities

• Design, develop, and implement machine learning and deep learning models tailored to mission-specific requirements
• Build and optimize model architectures, including CNNs, RNNs, transformers, LLMs, and object detection systems
• Develop and deploy large-scale language models and object detection solutions such as YOLO and Faster R-CNN
• Perform feature engineering and prepare high-quality datasets for training, validation, and evaluation
• Create and maintain comprehensive AI/ML training runbooks, documentation, and best practices
• Collaborate with data engineers and software teams to integrate AI models into production environments
• Ensure reproducibility of experiments through data versioning and adherence to metadata standards
• Continuously evaluate and improve model performance, scalability, and robustness
• Stay updated with the latest advancements in AI/ML technologies and incorporate them into projects as appropriate
  
  

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Benefits

• Weekly pay with full remote work flexibility
• Investment in professional growth through paid certifications and training programs
• Comprehensive benefits package including medical, dental, and vision coverage
• 401(k) plan with 100% company match up to 6%
• Paid time off (PTO) for personal and professional needs
• Life and disability insurance coverage
• Home office equipment plan to support remote work
• A collaborative and inclusive team environment focused on innovation, trust, and mission impact
  
  

Equal Opportunity

Rackner is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, ethnicity, gender, age, religion, sexual orientation, disability, or any other protected status. We encourage candidates from diverse backgrounds to apply and join our mission to deliver impactful solutions that support national security and technological advancement.