Machine Learning Developer

Coveo • Montreal, QC

8d • Hybrid

About The Position

As a Machine Learning Developer at Coveo, you will be responsible for transforming AI research into robust, production-ready systems that operate reliably at scale. You will support applied scientists by building scalable systems that facilitate experimentation and power real-world products. The role involves leveraging the latest advancements in machine learning to develop and enhance solutions for enterprise commerce, self-service, and other critical business applications within Coveo.

Requirements

• 2+ years of industry experience working with machine learning systems.
• Hands-on experience deploying, monitoring, and supporting artificial intelligence (AI) models in production.
• A collaborative mindset: you enjoy working closely with scientists to understand their challenges and improve their tools and workflows.
• Experience working with Python, Amazon Web Services (AWS), Kubernetes, or other relevant technologies.

Nice To Haves

• Experience in machine learning operations (MLOps), machine learning engineering, or large-scale model deployment.
• Experience working with data pipelines and structuring data workflows for machine learning projects.
• Experience contributing to shared internal tools or libraries.
• Knowledge of domains such as natural language processing (NLP), information retrieval, or recommendation systems.

Responsibilities

• Contribute to the end-to-end lifecycle of machine learning models, from implementation to testing, deployment, and monitoring.
• Analyze and improve the performance of machine learning models and systems, supporting large-scale training and low-latency inference.
• Maintain and improve client-facing product features powered by machine learning.
• Support the adoption of machine learning platforms, observability tools, and best practices to improve efficiency and reliability.
• Collaborate with peers to explore new approaches and continuously improve how we build and operate systems.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 251-500 employees