Backend Developer (Machine Learning Platform)

TL;DR

Backend Developer (Machine Learning Platform): Building and scaling the infrastructure that powers millions of ML predictions and LLM production deployments with an accent on distributed systems and high-load backend services. Focus on optimizing model deployment pipelines, improving platform reliability, and integrating complex ML models into production environments.

Location: Global Remote, or Hybrid/Onsite in Montreal, Quebec City, London, or Weert

Company

hirify.global is a pioneer in AI-powered search and recommendations, utilizing machine learning to personalize digital experiences for customers and employees.

What you will do

• Develop and deploy scalable backend solutions to streamline the production of machine learning models.
• Maintain and optimize services handling hundreds of millions of queries and requests daily.
• Collaborate with applied scientists and data engineers to integrate models into the production platform.
• Analyze platform performance and improve the reliability of distributed systems.
• Contribute to the full development lifecycle, including coding, testing, and deployment.

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 technical problems.

Nice to have

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

Culture & Benefits

• Flexible work modes including full remote, hybrid, or in-person options.
• Collaborative, diverse, and trusting environment with a focus on continuous learning.
• Opportunity to work on cutting-edge AI infrastructure at a global scale.
• Inclusive culture encouraging applications from all backgrounds.