Role overview
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.
What you'll work on
- 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
What we're looking for
- 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
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Remote Ai Engineer Machine Learning Deep Learning Computer Vision Data Engineer Generative Ai Ai