Senior Cloud Infrastructure Developer - MLOps

Montreal (Province of Quebec, Canada)

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Support the scale and growth of our AI platform

As a senior infrastructure developer on the ML Platform team, you will contribute to design and implement cloud infrastructure systems to support the scale and growth of our AI platform. Our team has built a mission-critical platform that trains thousands of models and serves over 100M model queries daily. This is your chance to accelerate AI innovation at Coveo by enhancing our ML platform’s capabilities to safely deploy, serve, and test models at scale.

This is your chance to contribute to AI innovation at Coveo by expanding the capabilities of our platform and supporting the shift toward agentic AI.

Here’s what you’ll be responsible for:

  • Design and implement cloud and infrastructure systems and support them in production while ensuring it meets the requirements for scalability, reliability, costs and performance.
  • Advise ML developers and ML scientists across the ML unit and provide expert guidance on cloud best practices.
  • Help us modernize, improve and support the entire ML model lifecycle from model development to vector search, model building orchestration and ML developer tooling
  • Evaluate and integrate latest industry ML tools and technologies to provide a best-in-class ML development experience to our team of applied scientists

Here is what will qualify you for the role: 

  • 5+ years of experience as a cloud developer.
  • Advanced knowledge of AWS, cloud systems and Infrastructure as code.
  • Exceptional resourcefulness and growth mindset.

Here is what will make you stand out:

  • Experience developing and supporting cloud systems in production
  • Experience building AI systems, infrastructure or tooling used by applied science teams
  • Experience with the following tools and technologies: vector database such as OpenSearch, Terraform, AWS SageMaker, AWS Bedrock, ML Flow

Do you think you can bring this role to life? 

You don’t need to check every single box; passion goes a long way, and we appreciate that skillsets are transferable. Send us your CV, we want to get to know you! Join the #Coveolife!

We encourage all qualified applications regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background. We know that applying for a new role is a lot of work and we really appreciate your time.

#li-hybrid 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AWS Machine Learning ML models MLOps OpenSearch SageMaker Terraform

Region: North America
Country: Canada

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