Machine Learning Operations Specialist

DRW; Montreal; On-site; CAD 80,000 - 120,000; Full time

Job summary

A leading firm is seeking a Machine Learning Operations Specialist to join their trading team in Montreal. This role involves deploying and managing machine learning and AI models, enhancing productivity through critical infrastructure and tooling, and collaborating with various teams to ensure the reliability of operations.

Qualifications

• Bachelor’s degree in Computer Science or related fields.
• Good programming skills in Python.
• Hands-on experience with ML infrastructure.

Responsibilities

• Deploy, manage and monitor ML and AI models in production.
• Drive development of ML infrastructure and AI-driven applications.
• Implement automated systems for training and validation of models.

Skills

Programming in Python

Problem-solving

Analytical reasoning

Collaboration

Education

Bachelor’s degree in a quantitative field

Tools

ML and AI infrastructure

Job description

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

As a Machine Learning Operations Specialist, you will be an integral member of a collaborative trading team. You will work on deploying, monitoring and managing machine learning (ML) and artificial intelligence (AI) models in production. You will also help build critical infrastructure and tooling that leverages ML and AI technology to enhance productivity and efficiency.

Key Responsibilities:
* Deploy, manage and monitor ML and AI models in production.
* Help drive development of ML infrastructure and AI driven applications.
* Collaborate with software developers, researchers, traders and research scientists.
* Implement automated systems for training, validation, and monitoring of models, minimizing downtime and ensuring reliability.
* Create and maintain feature pipelines, feature stores, and model stores.
* Proactively troubleshoot performance bottlenecks, conduct root-cause analyses, and implement solutions to optimize GPU or CPU resource usage.

Qualifications:
* Bachelor’s degree in a quantitative field such as Computer Science or related fields.
* Good programming skills in Python.
* Hands-on experience with infrastructure and tooling.
* Proficient in problem-solving and analytical reasoning.
* Exceptional communication and collaboration skills.
* Familiarity with compute infrastructure necessary to support operating ML technology.

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