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Job DescriptionReference No. R2798735Position Title: MLOps EngineerDepartment: MLOps EngineeringLocation: Downtown Toronto, Ontario, Hybrid (3 days onsite)About the JobOur 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 and bring better drugs and vaccines to patients faster, to improve health and save lives.Our vision for AIJoin us on our journey in enabling Sanofis 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.You are a dynamic MLOps 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 an innovative global healthcare company with one purpose: to chase the miracles of science to improve peoples lives. Were 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 Responsibilities:Work in an agile development pod to design, build and maintain cloud hosted AI/ML products with automated pipelines that run, monitor, and retrain ML ModelsImplement automated ML pipelines (e.g., training and inference) working closely with other peers e.g., data scientists and data engineersSupport life cycle management of deployed AI/ML apps (e.g., new releases, change management, monitoring and troubleshooting)Work as intermediate level subject matter expert in MLOps (e.g., develop and maintain enterprise standards, user guides, release notes, FAQs)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 needsMaintain effective relationships with app userbase to develop education and communication content as per life cycle eventsResearch and gain expertise on emerging tools and technologies. An enthusiasm to ask questions and try and learn new things is essentialAbout YouKey Technical SkillsUniversity degree (Bachelor, Master or PhD) in Computer Science, Information Systems, Software Engineering, or another quantitative fieldMinimum 3 years of experience in building, deploying, monitoring and maintaining AI/ML applications utilizing cloud technologies (e.g., AWS, GCP, Azure, Snowflake etc.).Ability to work across the full stack and move fluidly between programming languages (e.g., Python) and MLOps technologies (e.g. Github, Argo, Metaflow, WandB, Snowflake)Experience in implementing CI/CD pipelines for AI/ML driven app developmentExperience in building and deploying apps with large scale data and ML pipelinesAbility to assess new technologies and compile architecture decision records (ADRs)Experience working in an agile team supporting and working with cross-functional teamsKnowledge of relational (e.g., Postgres SQL) and non-relational databases (e.g., Graph database, Vector Database etc.)Experience in visualization technologies (e.g. Python DASH, Tableau, PowerBI)Experience in developing and maintaining backend APIs (e.g. REST)Experience in provisioning cloud infrastructure leveraging Infrastructure as a code tools (e.g.: Docker, Kubernetes, Terraform)Experience in cloud-based ML engineering in an industrial setting within a global organization (technology company preferred)Experience in working within compliance (e.g. quality, regulatory - data privacy, GxP, SOX) and knowledge in cybersecurity is a plusSoft Skills:Excellent communication skills in English (both verbal and written as your work will require daily communication with teams around the globe).Structured, goal-oriented, and highly motivated.Able to work in a fast-paced, constantly evolving environment and manage multiple priorities.Interpersonal skills to work with technical leaders to define and enhance standards of development in AI engineering.Why Choose Us?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 its 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 programsPlay an instrumental part in creating best practice within our manufacturing facilityThis position is for a current vacant role that is now open for applications.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.#GD-SP #LI-SP #LI-Hybrid#DBBCAAll 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 employs peuvent tre admissibles participer aux programmes d''avantages sociaux de l''entreprise. Des informations supplmentaires sur les avantages sociaux peuvent tre trouves ici.