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 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, improving health and saving lives.
Who You AreYou are a dynamic MLOps Engineer interested in challenging the status quo to ensure seamless MLOps that scale up Sanofi's AI solutions for the patients of tomorrow. You are an influencer and leader who has deployed AI/ML solutions with technically robust lifecycle management (e.g., new releases, change management, monitoring, and troubleshooting) and infrastructural support. You have a keen eye for improvement opportunities and a demonstrated ability to deliver using software engineering and MLOps skills while working across the full stack and moving fluidly between programming languages and technologies.
Our vision for digital, data analytics and AIJoin us on our journey in enabling Sanofi's Digital Transformation through becoming an AI-first organization. This means:
AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs, and projects to create an agile, fulfilling, and meaningful work environment.Leading Edge Tech Stack: Experience building products that will be deployed globally on a leading edge tech stack.World Class Mentorship and Training: Working with renowned leaders and academics in machine learning to further develop your skillsets.There are multiple vacancies across our Digital organization. Further assessments will be completed to determine the specific function and level of hired candidates.
Job HighlightsWork in agile pods to design and build cloud-hosted ML products with automated pipelines that run, monitor, and retrain ML models.Design AI/ML apps and implement automated model and pipeline adaptation and validation working closely with data scientists and data engineers.Support lifecycle management of deployed ML apps (e.g., new releases, change management, monitoring, and troubleshooting).Work as MLOps subject matter expert (e.g., develop and maintain enterprise standards, user guides, release notes, FAQs).Build processes supporting seamless MLOps.
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