Senior Machine Learning Developer (AI)

TL;DR

Senior Machine Learning Developer (ML): Building and optimizing robust, scalable machine learning systems that accelerate experimentation and power real-world products with an accent on streamlining the end-to-end lifecycle of ML models. Focus on deploying, monitoring, and supporting AI models in production at meaningful scale and improving performance.

Location: Remote (Canada). This role requires candidates to be legally allowed to work in Canada. While the company states it hires from all over the world, this specific position has a Canadian work authorization requirement. Offices are located in Quebec City, Montreal, London, and Weert.

Company

hirify.global is a Quebec-based pioneer in AI-powered search and recommendations, using AI technologies to personalize digital experiences for enterprise commerce, self-service, and other business-critical use cases.

What you will do

• Streamline the end-to-end lifecycle of machine learning models from conception to deployment and monitoring.
• Analyze and improve the performance of machine learning models and systems, meeting service-level objectives for large-scale training and low-latency inference.
• Maintain and evolve critical, client-facing product features powered by machine learning.
• Enable teams to adopt machine learning platform, observability tools, and best practices.
• Collaborate with peers to challenge existing approaches and influence architectural decisions.
• Contribute to the evolution of a modern technology stack including Python, AWS, Kubernetes, PyTorch, Terraform, Snowflake, and Honeycomb.

Requirements

• 5+ years of industry experience working with machine learning systems.
• Hands-on experience deploying, monitoring, and supporting artificial intelligence models in production at meaningful scale.
• Strong foundations in data and software engineering, with a focus on building reliable, maintainable production systems.
• Experience collaborating closely with scientists and cross-functional teams to improve tooling and delivery efficiency.
• English B2 proficiency required.
• Must be legally allowed to work in Canada.

Nice to have

• Deep expertise in machine learning operations, machine learning engineering, and large-scale model deployment.
• Experience structuring data lifecycles and data logic within machine learning projects.
• A track record of maintaining, improving, and promoting shared internal tools or libraries.
• Knowledge of domains such as natural language processing, information retrieval, or recommendation systems.

Culture & Benefits

• Hybrid and in-person work modes are available in Quebec City, Montreal, London, and Weert offices, designed to foster collaboration and well-being.
• Remote work is supported globally with benefits enabling comfortable work from home, with potential travel for team-building events.
• Encourages continuous challenge-seeking, innovation, and learning new cutting-edge skills.
• Committed to providing accessible employment practices and an inclusive environment.
• Values diversity, collaboration, and trust among colleagues.