Senior Systems Engineer - Production AI

SGS Consulting
Massachusetts

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.
Posted 2026-02-26

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