Join Our Trailblazing Digital Team as a Lead Engineer in Machine Learning Applications at Sanofi, Toronto

Are you ready to shape the future of healthcare and medicine through cutting-edge technology and innovation?

Position Title: Lead Engineer, Machine Learning Applications
Department: Data Engineering Management
Location: Downtown Toronto, Ontario

About Sanofi

At Sanofi, we harness the miracles of science to enrich people's lives. With our robust emphasis on data and digital technologies, our pioneering efforts in life sciences help combat unmet medical needs through significant investments in manufacturing and R&D. Our innovative products promote self-care and disease prevention, improving lives by relying on science Canadians trust.

Embrace the AI and Data Revolution in Healthcare

Sanofi's charm lies in our ambitious digital transformation goals, primarily focusing on integrating Artificial Intelligence (AI) and Machine Learning (ML) in accelerating medicine's future— from speeding up R&D to enhancing manufacturing capabilities. As part of our inclusive and visionary Digital Team, your expertise in crafting global, data-driven solutions will directly impact global health outcomes and elevate patient care.

What This Role Involves:

Key Responsibilities:

• Design and develop ML-driven products within agile teams, ensuring seamless integration and operation of automated ML pipelines.
• Collaborate closely with data scientists and engineers to refine AI/ML applications, focusing on continuous improvement and cutting-edge solutions.
• Support the entire MLOps lifecycle, from deployment to management, of new and existing applications to guarantee robust performance and reliability.

Who We Are Looking For:

• An experienced Software Engineer, adept in large-scale ML systems and AI solution deployment, ready to lead and innovate in agile, dynamic environments.
• Candidates who are forward-thinking and comfortable navigating complex projects with diverse teams.
• Professional expertise in software engineering, ML integration, and maintaining high standards in lifecycle management.

Qualifications for Success:

• Strong foundation in data science, software engineering, or related fields with profound knowledge in building scalable data architectures and CI/CD pipelines.
• Proficiency in high-performance computing environments including AWS, handling large data sets, and developing APIs.
• Graduate degree in Computer Science, Information Systems, or relevant quantitative fields preferred.

Our Inclusive Community and Commitment to Diversity

Sanofi's strength lies in our diversity. We are committed to fostering an inclusive environment where everyone's differences are esteemed. We are proud to be an equal opportunity employer, inviting all qualified individuals from various backgrounds to help us pioneer healthcare improvements and make an impact worldwide.

Ready to make a difference in a position that matters? Apply now to become a Lead Engineer in Machine Learning Applications at Sanofi and join us as we transform the healthcare landscape.

Note: Accommodations for persons with disabilities are available during the recruitment process upon request. Only selected candidates will be contacted for an interview.

Follow Sanofi: |