Senior Systems Engineer - Production AI

• 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 Git Hub Actions to enable automated testing and deployment.
• Deploy and operate applications on Kubernetes using Git Ops 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.

• Git Hub Actions and CI/CD pipeline implementation.
• Kubernetes based container orchestration.
• Git Ops 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).

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