Senior Cloud Infrastructure Developer - MLOps

Coveo; Montreal; On-site; CAD 90,000 - 150,000; Full time

Job summary

Coveo is looking for a Senior Cloud Infrastructure Developer specializing in MLOps to champion cloud infrastructure for their ML platform. You will design and maintain infrastructure as code, ensure cloud best practices, and support ML developers in deploying and orchestrating models at scale. Join a dynamic team and help facilitate robust, scalable ML model development.

Qualifications

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

Responsibilities

• Design and implement infrastructure as code for ML tooling and applications.
• Advise ML developers on cloud best practices.
• Provide end-to-end ML tooling to support the ML development lifecycle.

Skills

Advanced knowledge of AWS

DevOps practices

Infrastructure as code

Resourcefulness

Job description

Senior Cloud Infrastructure Developer - MLOps

Join to apply for the Senior Cloud Infrastructure Developer - MLOps role at Coveo

Senior Cloud Infrastructure Developer - MLOps

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Join to apply for the Senior Cloud Infrastructure Developer - MLOps role at Coveo

Champion cloud infrastructure for our ML platform

As a senior infrastructure developer on the ML Platform team, you will define and implement cloud best practices within the MLOps team. The team supports ML developers and applied scientists in deploying, orchestrating and productionalizing ML models at scale.

Your primary responsibility will be to design, implement and maintain infrastructure as code, tooling, workflows and integrations that enable the efficient development of robust, scalable, and maintainable ML models.

Here’s What You’ll Be Responsible For

• Design and implement infrastructure as code for ML tooling and applications, 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.
• Provide end-to-end ML tooling to support the entire ML development lifecycle from data exploration to production deployment tooling, including automated testing and monitoring.
• 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, DevOps practices and Infrastructure as code.
• Exceptional resourcefulness and growth mindset.
  
  

Here Is What Will Make You Stand Out

• Previously worked as a DevOps, MLOps or similar role
• You have acquired MLOps experience hosting models at scale by previously building tooling to facilitate data exploration and experimentation, as well as automating and orchestrating complex and efficient training pipelines
• Experience building ML infrastructure or ML tooling used by applied science teams
  
  

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 candidacies 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.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Industries

  Food and Beverage Services

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