Titre du poste ou emplacement

Bilingual Specialist Machine Learning Developer

HR Project Partners Inc.
Montreal, QC
Posté aujourd'hui
Détails de l'emploi :
Temps plein
Niveau d`entrée

Job Description:

HR Project Partners is currently accepting resumes for a Specialist Machine Learning Developer on behalf of one of our clients. We're looking for self-starting team members with data engineering, full-stack, or product development experience who are keen to join our small, tight-knit Analytics team. It is a startup-like group of passionate people in a large mining organization that is on the journey of uplifting its ML capabilities and overall engineering practices.

If you enjoy end-to-end ownership of data-solutions, are passionate about the quality of your work, have a high level of curiosity, and enjoy on-the-job development of knowledge and capability: we believe you will find our team both engaging and rewarding. We have a strong culture of inclusion, independence, and creativity, supporting flexible and WFH arrangements for our team.

This position is located in Montreal, QC.

Essential Job Functions:

  • Collaborate with ML-Ops and Data teams to transform data science algorithms into production-grade products;
  • Design, build, and maintain machine learning pipelines for diverse industrial data sources;
  • Conduct technical spikes and exploratory work to guide the ML Engineering and Operations roadmap;
  • Promote and share team practices, culture, and technical approaches across the organization;
  • Engage cross-functionally with teams such as Industrial Systems, Safety, Ethics, and Cybersecurity to ensure integrated solutions;
  • Mentor and support the development of emerging developers and data scientists across the business;
  • Participate in cross-functional product teams composed of Developers, Scientists, Product Owners, Delivery Professionals, and end-users, typically in 3-6 month deployment cycles;
  • Take end-to-end ownership of the ML solution lifecycle - from problem definition and data/system discovery to implementation and delivery;
  • Deliver high-impact Proof of Concepts (POCs) and Minimum Viable Products (MVPs) that build momentum for long-term adoption and industrial-scale development; and
  • Actively contribute to the evolution of team practices in engineering, model lifecycle management, software quality, and peer review processes.

Education and Experience Requirements:

  • Diverse technical backgrounds are welcome - our Client values unique career paths and multidisciplinary experiences;
  • Previous experience contributing to or building applications, backend systems, or data platforms at any scale;
  • A collaborative mindset, strong motivation, curiosity, and problem-solving instincts are as important as technical skill;
  • Exposure to or interest in data engineering, machine learning, or AI is a strong asset; we also support those eager to grow in these areas;
  • Formal education or equivalent experience in any of the following areas is highly regarded: Computer Science, Software Engineering, Machine Learning Engineering, Mathematics or Statistics;
  • Comfort or familiarity with data handling across various types and workflows;
  • Hands-on experience with infrastructure and cloud tools is beneficial;
  • Familiarity with modern development tools and environments; and
  • Fluency in French and English.

How to Apply:

When submitting your application to HR Project Partners for this opportunity, please submit a PDF version and clearly state the job title for which you are applying.

About Us:

HR Project Partners Inc. (HRPP) is a Human Resources consulting company offering various services in Human Resources, both to individuals and to companies. One of those services is recruitment for companies on a provincial and national basis.

HR Project Partners is an equal opportunity employer.

Please apply directly to this job posting. For questions regarding the position, please feel free to email . While HR Project Partners appreciates all applications we receive, we advise that only candidates under consideration will be contacted.

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