Lead Engineer, Machine Learning Applications

Key Skills

Aartificial intelligence, Continuous Integration & Continuous Delivery - CI/CD, Design, Employee life cycle, Machine learning techniques, MLflow, MLOps tools, Python Programming, SPARK Programming, SQL

Job Description

At Sanofi, we’re committed to providing the next-gen healthcare that patients and customers need. It’s about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before. Join our Data Engineering Management as Lead Engineer, Machine Learning Applications and you can help make it happen. Your job? Developing globally scalable AI and machine learning solutions that help us get new clinical products to patients faster and more efficiently.

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 Responsibilities:

• Work 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 adaption and validation working closely with data scientists and data engineers.

• Support the full MLOps life cycle of new and existing ML applications (e.g., new releases, change management, monitoring and troubleshooting).

• Work as ML systems architecture design SME (e.g., develop and maintain enterprise standards, user guides, release notes, FAQs).

• Build processes supporting seamless ML integrations (e.g., app monitoring, troubleshooting, life cycle management and customer support).

About You:

• Graduate degree in Computer Science, Information Systems, Software Engineering, or another quantitative field.

• Experience in data science, statistics, software engineering, modular design, and design thinking.

• Experience developing CI/CD pipelines for AI/ML development, deploying models to production, and managing the lifecycle in a regulated environment.

• Ability to work across the full stack and move fluidly between programming languages (e.g.: Python, SQL, Spark) and ML frameworks (e.g.: Metaflow, MLFlow, Argo).

• Excellent communication skills in English, both verbal and in writing.

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 it’s 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.​

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.