Job Description

Job Description

Reference No. R2794016

Position Title: Senior Machine Learning (ML) Engineer

Department: MLOps Engineering

Location: Downtown Toronto, Ontario, Hybrid (3 days onsite)

About Sanofi 

We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.

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 and bring better drugs and vaccines to patients faster, to improve health and save lives.

Our vision for AI 

Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means: 

AI Factory: An extensive portfolio of AI products driving every stage of the company's value chain, from R&D and trials to manufacturing, supply chain, and commercial operations. 

State-of-the-art Tech Stack: Globally deployed products using a state-of-the-art technology stack. 

World-Class Mentorship and Training: Collaborate with renowned leaders and academics in AI/ML to enhance your skills and expertise. 

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started? 

Main Job Responsibilities:

• Design, build, deploy and maintain AI/ML applications (contribution in multiple products) with a strong consideration for scalability, reliability, and security
• Work in agile PODs to develop AI/ML products (Owning lifecycle of AI/ML components of the system)
• Implement automated model training and deployment pipelines adapting and validating via close collaboration with data scientists and data engineers
• Support end-to-end lifecycle management (e.g., new releases, change management, monitoring, and troubleshooting) of deployed AI/ML applications
• Build scalable, robust, and reusable code, as well as processes supporting seamless AI/ML Ops (e.g., app monitoring, troubleshooting, life cycle management, and customer support) experience
• Work closely with the product management team in designing solutions and challenging product features
• Work as subject matter expert in MLOps (e.g., develop and maintain enterprise standards, user guides, release notes, FAQs)
• Mentor junior team members and contribute to the AI engineering center of practice community.
• Develop Architecture Decision Record (ADR) via cross-functional collaboration
• Build processes and reusable components supporting seamless ML Operations (e.g., app monitoring, troubleshooting, life cycle management and customer support)
• Walk stakeholders and solution partners through solutions and reviewing product change and development needs
• Maintain effective relationships with app userbase to develop education and communication content as per life cycle events
• Research and gain expertise on emerging tools and technologies. An enthusiasm to ask questions and try and learn new things is essential

About You 

You are a dynamic experienced Machine Learning Engineer interested in challenging the status quo to ensure seamless AI/ML Engineering Operations that scale up Sanofi's AI solutions for the patients of tomorrow. You are an influencer and a future leader who has deployed AI/ML solutions with technically robust lifecycle management and infrastructural support. You are deeply interested in improvement opportunities and always thrive to demonstrate ability to deliver using AI/ML Engineering skills while working across the full stack and moving fluidly between programming languages and technologies

• We are a highly collaborative team of tech enthusiasts with experience from the world class tech companies around the world, on a mission to help Sanofi transform into a first-in-class AI-focused data-driven company

• Your work will have a tangible positive impact on patients’ lives around the world

• Help bring the miracles of science to life alongside a supportive, future-focused team

• Discover endless opportunities to grow your talent and drive your career, whether it is through a promotion or lateral move, at home or internationally

• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact

• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention, and wellness programs and at least 14 weeks’ gender-neutral parental leave.

• Play an instrumental part in creating best practice within our manufacturing facility

This position is for a current vacant role that we are actively hiring for.

Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.

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All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.

Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise. Des informations supplémentaires sur les avantages sociaux peuvent être trouvées ici.

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