Shape the future of healthcare as Sanofi's Lead Engineer specializing in Machine Learning Applications. Design scalable AI systems that streamline clinical product development and enhance patient outcomes. As a key member of the Data Engineering Management group, you will focus on developing robust ML solutions housed in the cloud.

Your leadership will guide the lifecycle management of current and existing applications, working closely with interdisciplinary teams to ensure effective deployment and integration of machine learning techniques in real-world applications.

Key Responsibilities




Architect and build cloud-based ML products with agile pods • Implement automated model validation and adaptation processes • Oversee the full MLOps life cycle of ML applications • Serve as subject matter expert in ML system architecture • Develop processes to support effective ML integration Requirements:
Advanced degree in Software Engineering or similar field • Robust experience in data science and agile methodologies • Familiarity with CI/CD processes for ML development • Proficient across multiple programming languages and ML frameworks • Excellent English communication skills, both verbal and written Bring your expertise in machine learning to Sanofi and advance healthcare solutions globally.

📌 Sanofi Lead Machine Learning Engineer Toronto (Canada)
🏢 Sanofi
📍 Canada