Job Description: Reference No. R2798735
Position Title: MLOps Engineer
Department: MLOps Engineering
Location: Toronto, Ontario
About the Job
Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives.
Sanofi has recently embarked on a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing, and commercial performance — bringing better drugs and vaccines to patients faster, improving health, and saving lives.
Our Vision for AI
Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI-first organization. This includes:
- AI Factory: An extensive portfolio of AI products driving every stage of the company’s value chain.
- State-of-the-art Tech Stack: Globally deployed products using cutting-edge technology.
- World-Class Mentorship and Training: Collaborate with renowned AI/ML leaders and academics.
Candidate Profile
A dynamic MLOps Engineer interested in challenging the status quo to ensure seamless AI/ML operations, scaling Sanofi's AI solutions for future patients. The candidate demonstrates influence, leadership, and hands-on deployment experience of AI/ML solutions with robust lifecycle management.
About the Organization
An innovative global healthcare company dedicated to scientific miracles to improve lives. Offers growth opportunities through diverse projects, international exposure, and career development.
Main Responsibilities
- Design, build, and maintain cloud-hosted AI/ML products with automated pipelines.
- Implement automated ML pipelines (training, inference).
- Support lifecycle management of deployed AI/ML applications.
- Develop and maintain enterprise standards, guides, release notes, FAQs.
- Build processes supporting seamless ML operations.
- Guide stakeholders through solutions, review product development.
- Maintain relationships with users, create educational content.
- Research emerging tools and technologies.
About You
Key Technical Skills
- University degree in Computer Science, Software Engineering, or equivalent.
- 3+ years experience with AI/ML applications on cloud platforms (AWS, GCP, Azure).
- Proficiency in programming languages like Python.
- Experience with CI/CD pipelines.
- Large-scale data and ML pipeline deployment.
- Technology assessment and architecture decision recording.
- Cross-team and agile support experience.
- Knowledge of relational and non-relational databases.
- Visualization skills (Python DASH, Tableau, PowerBI).
- API development (REST).
- Cloud infrastructure provisioning (Docker, Kubernetes, Terraform).
- Experience in global organizations, compliance, and cybersecurity awareness.
Soft Skills
- Excellent communication skills in English.
- Goal-oriented, motivated.
- Adaptability in fast-paced environments.
- Strong interpersonal skills.
Why Choose Us?
- Be part of scientific miracles.
- Career growth opportunities.
- Attractive rewards and benefits.
- Health and wellbeing programs.
- Play a key role in manufacturing best practices.
Application Notes
This position is currently available and accepting applications.
Sanofi promotes diversity and inclusion and is an equal-opportunity employer.
Additional Information
- #GD-SP
- #LI-SP
- #LI-Hybrid
- #DBBCA
All compensation is based on experience. Employees have access to various benefit programs.