Senior Systems Engineer – Production AI

SGS_JOB_3588

Engineering
 Massachusetts
• Design
develop
deploy
and operate production grade AI/ML systems and data pipelines

Contract - 08 Months + (Highest possibilities of contract extension)

Location:-Waltham, MA 02451 (Hybrid) About The MRNA Center Of Excellence Client’s mRNA Center of Excellence (CoE) represents an annual investment of approximately €400 million to accelerate the development of next generation vaccines. With around 400 dedicated employees across Cambridge, Massachusetts (USA) and Marcy l’Étoile, France, the CoE integrates end to end mRNA vaccine capabilities across Research & Development, Digital, and CMC functions. Beyond pandemic preparedness, the CoE drives innovation in mRNA technologies with a strong focus on thermostability, tolerability, and routine vaccination use cases. Advanced AI and machine learning approaches—such as lipid nanoparticle prediction and mRNA sequence optimization—are embedded in the research strategy to accelerate scientific decision making and development timelines. Mission Statement The Senior Systems 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.

Job Responsibilities:

  • Design, develop, deploy, and operate production grade AI/ML systems and data pipelines in an agile environment.
  • Build, maintain, and optimize CI/CD pipelines using GitHub Actions to enable automated testing and deployment.
  • Deploy and operate applications on Kubernetes using GitOps practices (e.g., ArgoCD).
  • Develop user facing applications through APIs and/or graphical interfaces.
  • Deploy predictive models into production environments with a strong focus on reliability, scalability, and observability.
  • Build and optimize compute pipelines supporting data processing and model training.
  • Collaborate closely with data scientists, computational biologists, and vaccine researchers to translate scientific needs into robust digital solutions.
  • Actively participate in agile ceremonies and contribute to continuous improvement of team practices.
  • Ensure high standards for code quality, documentation, and knowledge transfer.
  • Communicate complex technical concepts clearly to both technical and non technical stakeholders.

Skills:

  • GitHub Actions and CI/CD pipeline implementation.
  • Kubernetes based container orchestration.
  • GitOps practices (ArgoCD or equivalent).
  • Strong Python programming skills.
  • API and/or web application development.
  • Production deployment of machine learning models and MLOps practices.
  • Familiarity with major cloud platforms (AWS, Azure, or GCP).

Education/Experience:

  • Bachelor’s degree or higher in Computer Science, Software Engineering, Data Science, or a related field. Advanced degrees are valued but not required.

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