Compensation$105,500 - $125,000 CAD. Les renseignements sur la rémunération publiés tiennent compte d’une prime de marché temporaire propre à ce poste, qui est réévaluée chaque année.LocationToronto, Ontario, CanadaWorking Hours37.5 heures par semaineSectorAnalyses, informations et intelligence artificielleAbout the RoleWe’re looking for a highly motivated Applied Machine Learning Scientist to join our team. In this role, you’ll drive the development and deployment of ML solutions that power data-driven decision-making. You’ll work closely with various teams to bring AI capabilities to life and deliver measurable business impact. This is a unique opportunity work on high-impact initiatives in a fast-growing function. If you're passionate about solving real-world problems with machine learning and want to make a tangible difference at scale, we'd love to hear from you.What You’ll DoDevelop, deploy, and maintain ML models for use cases such as customer segmentation, acquisition, pricing and lifetime valueTranslate business problems into analytical frameworks and collaborate with cross-functional teams to define success metrics and solution approachesConduct rigorous model evaluation, A/B testing, and monitoring to ensure model performance, fairness,



and stability in productionCommunicate complex technical results to non-technical stakeholders and provide actionable insightsStay current with ML research and industry trends to bring creative approaches into productionWhat You Bring2+ years of experience applying machine learning to real-world business problemsProficiency in Python and key ML librariesExperience with structured and unstructured data, feature engineering, and model interpretability techniquesHands‑on experience with model deployment and monitoring in a production environmentStrong problem‑solving skills and a track record of delivering results in cross‑functional teamsUndergraduate degree required, advanced technical degree in a STEM field preferredNice to HaveExperience working in financial services or regulated environmentsExposure to GenAI or large language models and their practical applicationsFamiliarity with causal inference or reinforcement learningBenefitsNotre programme de rémunération globale comprend un salaire de base, une rémunération variable, des avantages de santé et de bien‑être, des régimes d’épargne et de retraite, des congés payés, des avantages bancaires et des rabais, ainsi que des occasions de développement de carrière et des programmes de récompenses et de reconnaissance.#J-18808-Ljbffr

📌 Scientifique I, Apprentissage Automatique Appliqué - C$105,500 - C$125,000 A Year (Winnipeg)
🏢 TD
📍 Winnipeg