Senior Systems Engineer - Production AI
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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