Senior ML Engineer: AI Platform & Production Lead

Carbon Data Solutions; East London; On-site; ZAR 1,000,000 - 1,400,000; Full time

Job summary

Faculty is seeking a Lead Machine Learning Engineer to set the technical direction for complex AI/ML projects, ensuring models perform at scale and in production. You will lead the delivery of large-scale AI-powered platforms in high-risk environments, define roadmaps across multiple workstreams, and defend architectural choices to senior stakeholders.

This growth-focused leadership role requires hands-on expertise with cloud-native ecosystems, Kubernetes, and production-grade model lifecycle

Qualifications

• Extensive experience delivering production ML systems.
• Proven ability to lead in high-risk, high-impact projects.
• Strong knowledge of Kubernetes and CI/CD pipelines.

Responsibilities

• Design, implement, and maintain scalable ML systems for production.
• Develop shared libraries and infrastructure for model deployment and lifecycle management, including CI/CD pipelines.
• Lead model integration with infrastructure by creating APIs and services for scalable AI features.

Skills

Cloud native

Kubernetes

CI/CD pipelines

TensorFlow

PyTorch

Model deployment

Leadership

Tools

Docker

Job description

Faculty is seeking a Lead Machine Learning Engineer to set the technical direction for complex AI/ML projects, ensuring models perform at scale and in production. You will lead the delivery of large-scale AI-powered platforms in high-risk environments, define roadmaps across multiple workstreams, and defend architectural choices to senior stakeholders.

This growth-focused leadership role requires hands-on expertise with cloud-native ecosystems, Kubernetes, and production-grade model lifecycle