Backend Developer (ML Platform)

TL;DR

Backend Developer (ML Platform): Building and scaling the infrastructure to bring machine learning models and LLMs into production with an accent on distributed systems and high-load services. Focus on optimizing model deployment, ensuring platform reliability for millions of daily queries, and integrating ML workflows into a scalable backend.

Location: Remote (Global), Hybrid, or Onsite (Montreal, Quebec City, London, or Weert)

Company

A Quebec-based pioneer in AI-powered search and recommendations that personalizes digital experiences using machine learning.

What you will do

• Develop, test, and deploy scalable backend solutions to streamline the production of ML models and LLMs.
• Maintain high-load services handling millions of requests per day.
• Analyze and optimize platform performance and reliability.
• Collaborate with applied scientists and data engineers to integrate models into production.
• Suggest process improvements and utilize AI coding tools to enhance development workflows.

Requirements

• 2+ years of experience in backend development within a cloud environment.
• Proficiency in Java/Spring or Python.
• Strong understanding of distributed systems and scalable application design.
• Ability to debug complex systems and solve problems independently or with guidance.

Nice to have

• Experience with Kubernetes or Terraform.
• Familiarity with machine learning workflows and model deployment.
• Interest in real-time inference at scale and model orchestration.

Culture & Benefits

• Flexible work modes: In-person, Hybrid (2 days/week in office), or Remote.
• Inclusive environment that encourages applications regardless of background or CV gaps.
• Collaborative and diverse culture focused on continuous learning and cutting-edge challenges.
• Support for remote work with benefits to ensure comfort at home.