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. Our vision for AI 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 Generative AI Platform: A technological foundation enabling the reliable, consistent, efficient, secure, scalable, and responsible development of Generative AI (Gen AI) products by optimizing system architecture, processes, and services 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 Main Job Responsibilities Design, build, deploy and maintain AI/ML applications with a strong consideration for scalability, reliability, and security 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 and Gen AI apps 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 Walk stakeholders and partners through the technical solutions, review product change and development needs Maintain effective relationships with the application user base and develop education and communication content aligned with life cycle events Research and gain expertise in emerging tools and technologies. Enthusiasm for asking questions and a willingness to try and learn new things are essential Work as AI/ML subject matter expert (e.g., develop and maintain enterprise standards, user guides, release notes, FAQs) Work in agile PODs to design and build cloud-hosted AI/ML products with automated pipelines that run, monitor, and retrain AI Models Mentor junior team members and contribute to the AI engineering center of practice community About you You are a dynamic, motivated, driven, and experienced AI Engineer excited by challenging the status quo, and building performant and seamless AI/ML Ops experience. You are comfortable with and enjoy designing, developing, and deploying scalable 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 relevant AI Engineering skills while working across the full stack and moving fluidly between programming languages and technologies. Key Technical Skills and Qualifications Graduate degree (MS or PhD) in Computer Science, Information Systems, Software Engineering, or another quantitative field Minimum 5 years of experience in building, deploying, monitoring and maintaining AI applications utilizing cloud technologies (e.g., AWS or Azure) Strong experience in a modern programming language (e.g., Python) and able to move fluidly between programming languages if needed Experience in AI/ML Framework (such as PySpark, Scikit-learn, PyTorch, Tensorflow etc.), and MLOps tools (e.g., MLFlow, Weights & Biases, Metaflow, Grafana, ELK stack etc.) Good understanding of AI concepts including Traditional AI and Generative AI (e.g., agents, RAG, RLHF, prompt engineering), and experienced in Life cycle management of LLM based applications (