Production AI Systems Engineer | Kubernetes, MLOps, GitOps

SGS Consulting; Milton (MA); On-site; USD 140,000 - 180,000; Full time

Job summary

SGS Consulting in Milton, Massachusetts is seeking a production AI/ML engineer to design, deploy, and operate data pipelines and ML systems in an agile environment.

You will build CI/CD pipelines with GitHub Actions, deploy on Kubernetes using GitOps (ArgoCD), and collaborate with scientists to translate complex needs into scalable digital solutions. Strong Python and API/web app skills are required.

Qualifications

• Bachelor’s degree or higher in CS, SE, or Data Science.
• Experience with AI/ML systems and data pipelines is preferred.
• Advanced degrees are valued but not required.

Responsibilities

• Design, develop, deploy, and operate production AI/ML systems.
• Build and optimize CI/CD pipelines with GitHub Actions.
• Deploy apps on Kubernetes using GitOps (ArgoCD).
• Develop user-facing apps via APIs or web interfaces.
• Deploy predictive models to production with reliability and observability.
• Collaborate with scientists to translate needs into digital solutions.
• Participate in agile ceremonies and improve team practices.
• Maintain code quality, docs, and knowledge transfer.
• Communicate complex concepts clearly to technical and non-technical stakeholders.

Skills

GitHub Actions

Kubernetes

GitOps ArgoCD

Python

API development

MLOps

Cloud platforms

Education

Bachelor's degree in CS/SE/Data Science

Job description

SGS Consulting in Milton, Massachusetts is seeking a production AI/ML engineer to design, deploy, and operate data pipelines and ML systems in an agile environment.

You will build CI/CD pipelines with GitHub Actions, deploy on Kubernetes using GitOps (ArgoCD), and collaborate with scientists to translate complex needs into scalable digital solutions. Strong Python and API/web app skills are required.