Jobs for People with MS: National MS Society

Le contenu du poste est libellé en anglais car il nécessite de nombreuses interactions avec nos filiales à l’international, l'anglais étant la langue de travail.

Job Title: ML Ops Data Engineering - All Genders

Location: Gentilly (FRANCE)

About the job

Are you ready to drive the future of healthcare with cutting-edge AI and ML solutions? Join Sanofi as an MLOps Data Engineer, where you’ll design and build scalable MLOps that power AI solutions for better patient outcomes. Your role will be crucial in deploying robust AI/ML solutions and managing their lifecycle to accelerate our R&D, manufacturing, and commercial performance.

At Sanofi, we are an innovative global healthcare company driven by one purpose: to chase the miracles of science to improve people’s lives. Join us on our digital transformation journey and become part of an AI-first organization.

Main responsibilities:

• Work in agile pods to design and build cloud-hosted ML products with automated pipelines for ML model management.

• Design AI/ML applications and implement automated model and pipeline adaptation and validation in collaboration with data scientists and data engineers.

• Support the lifecycle management of deployed ML applications, including new releases, change management, monitoring, and troubleshooting.

• Serve as the MLOps subject matter expert, developing and maintaining enterprise standards, user guides, release notes, and FAQs.

• Research and gain expertise on emerging tools and technologies to continuously improve MLOps practices.

• Actively seek out new learning opportunities and apply innovative thinking to solve complex problems.

About you:

Key Functional Requirements & Qualifications:

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

• Proven experience in developing CI/CD pipelines for AI/ML development, deploying models to production, and managing lifecycle in regulated environments.

• Expertise in building and deploying data science applications with large-scale data and ML pipelines.

• Hands-on experience in agile methodologies and working in cross-functional teams.

• Strong understanding of ML and AI concepts and practical experience in MLOps.

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

Key Technical Requirements & Qualifications:

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

• Proficiency in working across the full stack and adeptness with programming languages and MLOps technologies (e.g., Python, Spark, R, Metaflow, Github, MLFlow, Argo).

• Experience with cloud and high-performance computing environments.

• Knowledge of AWS (e.g., S3, Lambda, EC2, CloudWatch) and similar technologies (e.g., ELK stack, Snowflake, Informatica).

• Skilled in relational databases, query authoring (SQL), and designing various types of databases (e.g., Postgres SQL, Document store).

• Familiarity with visualization technologies (e.g., RShiny, Python DASH, Tableau, PowerBI, web frameworks) is a plus.

• Proven track record in developing, deploying, and operating AI/ML models on complex datasets.

• Experience in developing and maintaining APIs (e.g., REST).

• Expertise in specifying infrastructure and using Infrastructure as Code (e.g., Docker, Kubernetes, EKS, Terraform).

• Background in cloud-based ML engineering within an industrial setting, preferably within a global organization or technology company.

• Understanding of compliance requirements (e.g., quality, regulatory - data privacy, GxP, SOX) and cybersecurity is advantageous.

• Experience in mentoring or technology evangelism/advocacy for senior roles.

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 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.

Pursue Progress. Discover Extraordinary.

Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas, and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together.

At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

Watch our ALL IN video and check out our Diversity, Equity, and Inclusion actions at sanofi.com!