Systems Engineer III

Production AI Engineer

Production AI will join the mRNA Systems Engineering team to design, build, and operate production grade systems based on AI and machine learning and that accelerate mRNA vaccine research and development. Working in a highly agile, cross functional environment at the interface of software engineering, AI/ML, and pharmaceutical sciences, the role contributes to build scalable digital products that bring predictive models into production and empower scientific users across Vaccines R&D.

Bachelor's degree or higher in Computer Science, Software Engineering, Data Science, or a related field. MS and PHD accepted / Over 5 years of exp accepted. Experience in pharmaceutical, biotechnology, or life sciences environments. Awareness of drug discovery, vaccine development, or experimental sciences. Experience with workflow orchestration tools such as Meta flow. Some knowledge in orchestration frameworks, preferred in Meta flow, frameworks, operation. AI assisted software engineering experience. Contributions to open source or technical communities. Experience designing scalable data engineering solutions. Fluency in French would be a BIG PLUS.

Strong cross functional collaboration across Vaccines R&D, Digital, and CMC. Strong experience working in agile environments with a customer-oriented mindset. Proven experience deploying and operating applications in production. Python programming skills. GitHub Actions and CI/CD pipeline implementation. Kubernetes based container orchestration. Git Ops practices (Argo CD or equivalent). Dev Ops, automation. Production deployment of machine learning models and MLOps practices. API and/or web application development. Production deployment of machine learning models and MLOps practices. Familiarity with major cloud platforms (AWS, Azure, or GCP) Preferred.