My client is a leading diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. They value autonomy and the ability to quickly pivot to capture opportunities, so they operate using their own capital and trading at their own risk.Headquartered in Chicago with offices throughout the US, Canada, Europe, and Asia, they trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. They have also leveraged their expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
Operating with respect, curiosity and open minds, the people who thrive here share the belief that it’s not just what you do that matters—it’s how you do it. This is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
As an AI Engineer, you will be an integral member of a collaborative multi-asset trading team. You’ll work on high-impact machine learning (ML) and artificial intelligence (AI) initiatives that are central to the business strategy. In this role, you will build critical infrastructure and tooling that leverages AI and ML technology to enhance productivity, efficiency, and discover innovative paths to challenging business and technology problems. Surrounded by cutting-edge technology and experienced trading teams, you will have the opportunity to tackle fascinating new projects while becoming a subject-matter expert in a critical and innovative role.
Key Responsibilities: 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. Qualifications: 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. Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
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