Senior Machine Learning Developer - MLOps

*Please note that we have 3 Senior Machine Learning Developer roles open hybrid, in Montreal and Quebec city locations, as well as remote in the Quebec province. 

Play a key role in shaping MLOps best practices 

As a Senior Machine Learning Developer on the ML Platform team, you will work on a suite of tools to support the teams of applied scientists in deploying, orchestrating and productionalizing ML models at scale. 

Your primary responsibility will be to create and maintain tooling, libraries and workflows that enable the efficient development of robust, scalable, and maintainable ML models. You will also work closely with Applied Scientists to accelerate the iteration and experimentation process, ensuring faster and more effective model development.

Here is what makes this opportunity exciting:

The ML unit at Coveo focuses on finding ways to apply the latest advances in Recommender Systems, Ranking Optimization, LLMs and NLP to build innovative solutions in e-commerce, self-service and other business verticals.
We solve real problems with real data, for hundreds of large enterprise clients all around the world, on a modern platform that serves over 100M requests and automatically trains thousands of ML models on a daily basis.

Here is a glimpse at your responsibilities:

• Provide end-to-end ML tooling from data exploration to production deployment tooling.
• Facilitate development, deployment, automated testing, monitoring and debugging of ML models
• Analyze and improve the performance of our models and ML Platform to help meet critical SLOs for training models at scale and low-latency inference.
• Facilitate the adoption and usage of ML platform and observability resources and provide guidelines to improve operational efficiency and service reliability.
• Engage with your community of peers to challenge the status quo, improve our shared ways of working, and influence overall architecture decisions.
• Evolve our modern tech stack which includes Python, AWS, Kubernetes, Pytorch, Terraform, Snowflake, Honeycomb and others

Here is what will qualify you for the role: 

• You have 5+ years of Machine Learning industry experience.
• You have operationalized, instrumented and supported ML models in production at a non-trivial scale before
• You are fluent in good data and software engineering practices, and you are able to develop the tools and culture which enable ML teams to deliver reliable production code in an efficient manner.
• You enjoy collaborating with scientists to understand their pain points and figure out how to improve their tools and increase their efficiency. You also have experience working in cross-functional teams.

Here is what will make you stand out:

• You master best practices in MLOps, ML engineering, and large-scale deployment of ML models.
• You have experience maintaining and evangelizing internal resources and libraries.
• You have acquired considerable 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
• You are recognized for your communication skills and presenting complex technical subjects to audiences with different levels of technical proficiency. 

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 candidates to apply 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.