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# AI Engineer

- **Company:** D R W Inc
- **Location:** Chicago, IL, United States
- **Experience:** Experienced
- **Salary:** $175,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Programming, Python (Programming Language), Machine Learning, Performance Tuning, Tensorflow, Systems Integration, AI Infrastructure, Pytorch, Large Language Models, Information Technology, ONNX (Open Neural Network Exchange) Format, Machine Learning Operations, TensorRT
- **Published:** July 28, 2026
- **Apply:** https://www.dice.com/job-detail/e50b9273-db81-49e1-a2ee-3743e9770983

## About the Role

* Bachelor's or advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
 * 3+ years of experience working with machine learning and artificial intelligence technology.
 * Strong understanding of core machine learning and artificial intelligence concepts.
 * Excellent programming skills in Python.
 * Demonstrated experience in building, validating, deploying, monitoring, and updating production ML and AI models.
 * Hands-on experience with MLOps and AIOps infrastructure and tooling.
 * Proficient in problem-solving and analytical reasoning.
 * Exceptional communication and collaboration skills.
 * Experience with ML frameworks such as TensorFlow, PyTorch, TensorRT, or ONNX.
 * Experience with Large Language Models, including RAG and fine-tuning techniques.
 * Familiarity with compute infrastructure necessary to support operating AI and ML technology.

## Description

* Drive end-to-end development of AI infrastructure and AI driven applications: from initial proof-of-concept to production deployment and ongoing maintenance.
 * Collaborate with technologists, traders, quantitative researchers, and data scientists to identify high-impact opportunities for integrating AI and machine learning into technology and business use cases.
 * Implement automated systems for continuous training, validation, and monitoring of models, minimizing downtime and ensuring reliability.
 * Provide technical leadership in selecting, integrating, and optimizing AI and ML frameworks, libraries, and tools across diverse hardware and software environments.
 * Create and maintain feature pipelines, feature stores, and model stores.
 * Develop frameworks to enable scalable, reproducible research.
 * Proactively troubleshoot performance bottlenecks, conduct root-cause analyses, and implement solutions to optimize GPU or CPU resource usage.


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