Machine Learning Engineer / Ingénieur en apprentissage automatique

SAP•Montreal, QC

2d•CA$77,500 - CA$166,200•Hybrid

About The Position

We are seeking a highly motivated Machine Learning Engineer to join our team and work directly with customers on challenging business problems. In this role, you will apply advanced machine learning and data science techniques to develop rapid prototypes, deliver business value, and push the boundaries of what is possible with AI. You will work across customer projects, strategic product development, and research initiatives making a real-world impact from day one. This position is ideal for a seasoned AI professional with a strong technical foundation, business acumen, and a passion for bridging research innovation with practical business applications. In this position, you will work on cutting-edge AI projects with direct customer impact.

Requirements

Master’s degree or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or related field
1-3 years of experience in machine learning, data science, or AI research (industry, research lab, or advanced academic projects)
Strong background in machine learning, deep learning, data mining, and/or optimization
Proficiency with Python and machine learning libraries (e.g., PyTorch, TensorFlow, scikit-learn)
Extensive experience working with real-world datasets, data preprocessing, and model deployment
Familiarity with cloud environments (AWS, Azure, GCP)
Ability to translate abstract business challenges into concrete AI solutions
Strong analytical, problem-solving, and mathematical modeling skills
Curiosity and initiative in exploring new AI techniques and applications
Ability to collect and process necessary data utilizing big data infrastructures and data processing/transformation tools such as Databricks
Write production-grade Python code
Excellent communication and collaboration skills, especially in customer-facing environments
Commitment to ethical and explainable AI practices
Familiarity with agile software development methods
English-language resumes are required for this position. Please submit your application details (resume/cover letter) in English.

Responsibilities

Translate complex business problems into mathematical or computational models.
Design, implement, and optimize machine learning algorithms and data mining workflows.
Collaborate directly with customers to understand business needs, define requirements, and deliver proof-of-concept as well as production-grade AI solutions.
Build, integrate, and test AI-driven prototypes and applications for real-world use cases.
Support internal teams by designing and implementing novel machine learning algorithms.
Apply recent research breakthroughs to practical problems to create measurable business value.
Contribute to continuous improvement of system scalability, performance, and explainability.
Clearly communicate complex results and insights to both technical and non-technical stakeholders.
Visualize and document findings to ensure transparency and reproducibility.
Work cross-functionally with product, engineering, and research teams to drive AI adoption.