Senior Systems Engineer - Production AI

SGS Consulting; Milton (MA); Sur place; USD 140 000 - 180 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

GitHub Actions

Kubernetes

GitOps ArgoCD

Python

API development

MLOps

Cloud platforms

Formation

Bachelor's degree in CS/SE/Data Science

Description du poste

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.