Senior AI Platform Engineer — Production AI with Python

ManpowerGroup Global, Inc.; Charlotte (NC); On-site; USD 140,000 - 180,000; Full time

Job summary

ManpowerGroup Global, Inc. in Charlotte, NC, is seeking a Senior AI Platform / Python Engineer to join the Data Engineering and AI development teams. The role focuses on Productionizing AI/ML solutions and deploying scalable AI models using Python, APIs, and cloud platforms.

You will integrate AI into enterprise applications, ensure stability and performance, and use OpenShift or Kubernetes for deployment. Collaboration across teams will drive best practices in data engineering and software

Qualifications

• 7+ years of experience in software engineering, data engineering, cloud engineering, or AI/ML engineering.
• Proficiency in Python development and deploying Data Science, ML, or AI solutions into production.
• Experience building enterprise applications and APIs, with cloud and container deployment expertise.
• Strong understanding of CI/CD pipelines, monitoring, and production support practices.
• Knowledge of cloud platforms such as Azure, and container orchestration tools like OpenShift or Kubernetes.

Responsibilities

• Productionize Data Science, Generative AI, and Predictive AI solutions within enterprise environments.
• Develop and deploy scalable AI models and applications using Python, APIs, and cloud platforms.
• Integrate AI solutions into enterprise applications, ensuring operational stability and performance.
• Utilize container platforms such as OpenShift or Kubernetes for deployment and management.
• Collaborate with cross-functional teams to support AI initiatives and ensure best practices in data engineering and software development.

Skills

Python development

CI/CD

Cloud deployment

APIs

Tools

OpenShift

Kubernetes

Azure

Job description

ManpowerGroup Global, Inc. in Charlotte, NC, is seeking a Senior AI Platform / Python Engineer to join the Data Engineering and AI development teams. The role focuses on Productionizing AI/ML solutions and deploying scalable AI models using Python, APIs, and cloud platforms.

You will integrate AI into enterprise applications, ensure stability and performance, and use OpenShift or Kubernetes for deployment. Collaboration across teams will drive best practices in data engineering and software