Senior Machine Learning Developer - Commerce AI

Coveo; Montreal; On-site; CAD 90,000 - 130,000; Full time

Job summary

A leading technology firm in Montreal seeks a Senior Machine Learning Developer to streamline model development, enhance performance, and work with cross-functional teams. The ideal candidate has over 5 years of experience in ML, strong software engineering skills, and a collaborative mindset. Join us to work on cutting-edge technology that solves real problems for global clients.

Qualifications

• 5+ years of Machine Learning industry experience.
• Experience operationalizing AI models in production at scale.
• Fluent in data and software engineering practices.

Responsibilities

• Streamline the development life-cycle of ML models.
• Analyze and improve model performance.
• Engage with peers to influence architecture decisions.

Skills

Machine Learning industry experience

Collaboration with scientists

Data and software engineering practices

Tools

Python

AWS

Kubernetes

Pytorch

Terraform

Snowflake

Honeycomb

Job description

Overview

Streamline the deployment of Machine Learning models

As a Senior Machine Learning Developer in R&D, you will play a key role in supporting the teams of applied scientists by building ML systems that are reliable, scalable and easy to maintain, as well as helping them iterate on experiments faster.

Your mission? Use your technical leadership influence to guide our ambitious AI technological vision of bringing the latest advances in the domain to a wide range of enterprise commerce clients.

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.

Responsibilities

• Help streamline the development life-cycle of ML models : conception, implementation, automated testing, deployment, monitoring, etc.
• Analyze and improve the performance of our models and systems – including meeting critical SLOs for training models at scale and low-latency inference.
• Maintain and improve several of our most important client-facing product features.
• Facilitate the adoption and utilization of ML platform and observability resources and 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

Qualifications

• 5+ years of Machine Learning industry experience.
• Operationalized, instrumented and supported AI models in production at a non-trivial scale before.
• Fluent in good data and software engineering practices, and able to develop tools and culture which enable the team to deliver reliable production code efficiently.
• Enjoy collaborating with scientists on a daily basis to understand their pain points and figure out how to improve their tools and increase their efficiency. Experience working in cross-functional teams.

What will make you stand out

• Master best practices in ML-Ops, ML engineering, and large-scale deployment of ML models.
• Familiar with Data Lifecycle in ML and helped structure the data logic in ML projects before.
• Experience maintaining and evangelizing internal resources and libraries.
• Savvy in specific ML domains such as Natural Language Processing, Information Retrieval, Recommendation Systems, and the technical implications of building pipelines for such use cases.
• Recognized for communication skills and ability to present 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.