Build the backbone of AI at scale Want to see your work power millions of machine learning predictions every day? Join our Machine Learning Platform team and help bring models, including Large Language Models (LLMs), int…
Our formula for success is to hire exceptional people, encourage their ideas and reward their results. As an AI/ML Research Intern, you will be an integral member of a team of experienced technologists, quantitative rese…
Skills: Deep Learning, Machine Learning, Statistics, Python, Tensorflow
Our formula for success is to hire exceptional people, encourage their ideas and reward their results. As a Software Developer Intern, you will join one of our development teams supporting our network development initiat…
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SSENSE
Gestionnaire principal·e, Opérations numériques // Senior Manager, Digital Operations
Montreal, Quebec, Canada · Hybrid
Senior$40M raised
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Skills: Financial Analysis, Budgeting, Forecasting, Variance Analysis, Microsoft Excel
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Senior
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Skills: Strategic Consulting, AI Transformation, Organizational Transformation, Change Management, Digital Transformation
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Senior
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Skills: Strategic Consulting, AI Transformation, Organizational Transformation, Change Management, Digital Transformation
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Burlington, Ontario, Canada · Hybrid
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Senior Data Developer | Développeur·euse de données sénior·e
Montreal, Quebec, Canada · Hybrid
Senior
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Full-time
Posted 29d ago
~40 hrs/week
Responsibilities
Develop and maintain a scalable AI platform that supports thousands of models and millions of daily queries. Collaborate with scientists and engineers to integrate agentic workflows and improve platform observability and reliability.
Requirements
Requires over 5 years of backend development experience in cloud environments, preferably with Python or Java/Spring and AWS. Candidates should have a strong understanding of distributed systems and scalable design.
Full job description
Build the backbone of AI at scale
Want to see your work power millions of machine learning predictions every day? Join our Machine Learning Platform team and help bring models, including Large Language Models (LLMs), into production in a reliable and scalable way.
You’ll contribute to a platform that trains thousands of models and serves hundreds of millions of queries daily, while growing your expertise in distributed systems, machine learning infrastructure and agentic workflows.
As a Backend Developer, you will:
Contribute to the development lifecycle, including coding, testing, and deployment
Analyze and help improve the ease of use, observability and reliability of our AI platform
Participate in maintaining services handling millions of requests and LLM calls per day
Collaborate with applied scientists, data engineers, and developers to integrate agentic applications into production
Contribute to evolving our AI platform to support the growth and scale of agentic workflows for Coveo users
Suggest improvements to existing processes and use AI coding tools to support your development workflow
Here is what will qualify you for the role:
5+ years of experience in backend development in a cloud environment (Python or Java/Spring preferred, AWS an asset)
Good understanding of distributed systems and scalable application design
Ability to solve problems and debug systems with guidance when needed
Comfortable learning new tools, technologies, and best practices
What will make you stand out:
Familiarity with Terraform, AWS Bedrock, OpenSearch serverless or other vector databases, LiteLLM or other LLM inference gateways
Exposure to machine learning workflows or agentic workflows
Interest in scalable backend services, large-scale realtime systems, agentic workflows and applications or realtime inference at scale
You don’t need to check every single box; passion goes a long way and we appreciate that skillsets are transferable.
Send us your application, we want to hear from 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.
This job description was written by humans, assisted by AI. We may leverage technology in our hiring process to help us see the person behind the resume.
Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact [email protected] to discuss your needs.
Coveo is the leader in AI-Relevance, powering AI-search & GenAI to drive results at every digital point-of-experience.
Industry
Software Development
Company size
501-1,000 employees
Founded
2005
Headquarters
Montréal, Quebec
LinkedIn followers
60,438
Total funding
$358M
Coveo is the leader in AI-Relevance, delivering best-in-class AI-search and generative experiences that maximize business outcomes at every point-of-experience.
Offices: 1100 Avenue des Canadiens-de-Montréal, Suite 401, Montréal, Quebec H3B 2S2, CA · 3175 des Quatre-Bourgeois, Suite 200, Quebec City, Quebec G1W 2K7, CA · 44 Montgomery St, San Francisco, California 94105, US · The Bloomsbury Building 10 Bloomsbury Way, London, England WC1A 2SL, GB · Schoutlaan 13 6002 EA, Weert, NL
Intelligent SearchCoveo for SitecoreCoveo for SalesforceAIMachine LearningKnowledge ManagementAI-Powered SearchCoveo for SAP Personalizationand Customer Experience
How many Data & Analytics jobs are open in Montreal, Canada right now?
There are currently 1,683 open data & analytics positions in Montreal, Canada listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Montreal, Canada?
Companies currently hiring include Desjardins, Ubisoft, Air Canada Vacations, EY, Intact, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Montreal, Canada?
Yes — 1131 of the 1683 open data & analytics positions offer remote or hybrid work (123 remote, 1008 hybrid).
How do I apply for Data & Analytics jobs in Montreal, Canada?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.