AI/ML Engineer (Active TS/SCI )

Rackner • Dayton, OH

2d • Remote

About The Position

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.

Requirements

• 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
• Hands-on experience with Hugging Face, Ollama, or similar frameworks
• Experience with data engineering concepts, including: Feature engineering and dataset preparation
• Experience with data versioning tools (e.g., lakeFS)
• Experience with 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
• Active TS/SCI clearance

Nice To Haves

• 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

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

Benefits

• Weekly pay
• Full remote flexibility
• Professional growth investment, including paid certifications and training
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed