AI/ML Engineer (Active TS/SCI )

Strong proficiency in designing and implementing model architectures, including:

Convolutional Neural Networks (CNNs)

Recurrent Neural Networks (RNNs)

Transformer-based architectures

PyTorch and/or TensorFlow

Hugging Face, Ollama, or similar frameworks

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)

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.

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

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.