Job Title: Machine Learning Developer
Location: Montreal, Quebec (Hybrid, 2–3 days onsite)
Job Type: Contract (Full-time hours) 6 months initial contract term, with possible extension
Clearance: N/A
Language: Bilingual in English and French 
Compensation: $40.6/hour on T4

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About the Opportunity

Our client in the industrial technology sector is seeking a Machine Learning Developer to build and scale intelligent systems that drive data-informed decision making. This role sits at the intersection of machine learning, software engineering, and MLOps, where your work will directly influence how data is transformed into business value.

You’ll collaborate with data engineers, developers, and product teams to tackle complex, real-world challenges. From messy datasets to production-grade ML systems, your contributions will help shape scalable and resilient solutions across a modern digital ecosystem.

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What’s in it for You

You’ll join a collaborative, innovation-driven environment where experimentation and continuous learning are encouraged. This is an opportunity to work on impactful, enterprise-level ML solutions while gaining exposure to modern tools, cloud platforms, and emerging AI approaches.

Expect a culture that values knowledge sharing, cross-functional teamwork, and building solutions that truly make a difference.

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Your Responsibilities

• You’ll design and deliver end-to-end ML pipelines, from data ingestion to deployment and monitoring
• You’ll build, train, and optimize machine learning models using modern frameworks
• You’ll deploy and maintain models in production using MLOps best practices, including CI/CD and containerization
• You’ll develop robust data pipelines and perform feature engineering on complex datasets
• You’ll collaborate with cross-functional teams to translate business problems into scalable ML solutions

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Skills and Qualifications

• 3-5 years of experience building and deploying end-to-end ML solutions in production
• Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or HuggingFace
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and MLOps tools like Docker and CI/CD pipelines
• Solid understanding of model evaluation techniques, bias/variance trade-offs, and data leakage prevention
• Experience working with large datasets in cloud platforms such as Snowflake

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Why Partner with Altis

If you’ve never worked with a staffing agency before, don’t worry, we make it easy. You’ll still engage directly with the client while we handle the logistics, provide guidance, and keep you informed every step of the way. We’ll represent your strengths, guide you through each stage of the process, and ensure the experience feels personal and transparent.

We appreciate the time and effort all applicants invest in their submissions. Please note that only candidates shortlisted for this role will be contacted directly. However, your profile will remain under consideration for future opportunities that align with your experience and career goals. All qualified applicants will receive fair consideration for employment. We welcome individuals of all backgrounds, experiences, and identities including those who identify as women, members of racialized groups, Indigenous Peoples, persons with disabilities, and 2SLGBTQIA+ communities. If you require an accommodation, please review our accessibility policy and reach out to our accessibility officer with any questions. Our human recruiters review all applications and always make the final hiring decision. On occasion, we also use AI-assisted tools to help review applications.