Job Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Machine Learning Engineer in Canada.
This role focuses on building and deploying applied machine learning systems that directly improve high-impact customer operations such as disputes, refunds, fraud detection, and chargeback resolution. You will work at the intersection of ML engineering, product, and operations to design intelligent systems that automate complex decision-making workflows. The environment is highly collaborative and production-oriented, requiring you to take models from experimentation to scalable real-world deployment. You will also contribute to building LLM-powered pipelines that extract and structure information from unstructured data to support faster and more accurate outcomes. The role offers exposure to both classical ML and modern AI/LLM systems, with a strong emphasis on measurement, monitoring, and reliability. This is an opportunity to build production-grade ML systems that have direct financial and customer impact at scale.
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Machine Learning Engineer in Canada.
This role focuses on building and deploying applied machine learning systems that directly improve high-impact customer operations such as disputes, refunds, fraud detection, and chargeback resolution. You will work at the intersection of ML engineering, product, and operations to design intelligent systems that automate complex decision-making workflows. The environment is highly collaborative and production-oriented, requiring you to take models from experimentation to scalable real-world deployment. You will also contribute to building LLM-powered pipelines that extract and structure information from unstructured data to support faster and more accurate outcomes. The role offers exposure to both classical ML and modern AI/LLM systems, with a strong emphasis on measurement, monitoring, and reliability. This is an opportunity to build production-grade ML systems that have direct financial and customer impact at scale.