Lead ML Engineer — Production AI & MLOps Leader

Placements24; Centurion; On-site; ZAR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary

Medical coverage

Pension plan

Generous annual leave

Learning opportunities and conferences

Modern Centurion office

Lead impactful projects

Job summary

Placements24 in Centurion, Gauteng is seeking a Lead Machine Learning Engineer to lead the development, deployment, and scaling of production ML models. You will guide a team of engineers, drive MLOps pipelines, and collaborate with data scientists and software teams to deliver robust AI solutions.

The role emphasizes strong leadership, advanced ML expertise, and a hands-on approach in a modern Centurion office.

Qualifications

• Advanced degree in a relevant field with ML specialization.
• 5+ years in ML engineering, including at least 2 in a lead role.
• Proven production ML deployment experience.
• Strong Python and ML libraries proficiency.
• Hands-on with MLOps tools and cloud ML services.
• Solid software engineering practices and collaboration.

Responsibilities

• Lead design, development and deployment of production ML models.
• Mentor a team of ML engineers and provide technical guidance.
• Develop and maintain robust MLOps pipelines for training, validation, deployment, and monitoring.
• Collaborate with data scientists and software engineers to scale research.
• Optimize models for performance and reliability in production.
• Ensure production ML systems are reliable and maintainable.
• Stay updated with ML and MLOps advancements.
• Contribute to ML infra architecture and tooling decisions.
• Champion best practices in software and ML development.

Skills

Leadership

Python

Communication

Problem-solving

Education

Master's or PhD in CS/Engineering

Tools

TensorFlow

PyTorch

scikit-learn

MLflow

Kubeflow

Docker

Kubernetes

Git

CI/CD

AWS

Azure

GCP

Job description

Placements24 in Centurion, Gauteng is seeking a Lead Machine Learning Engineer to lead the development, deployment, and scaling of production ML models. You will guide a team of engineers, drive MLOps pipelines, and collaborate with data scientists and software teams to deliver robust AI solutions.

The role emphasizes strong leadership, advanced ML expertise, and a hands-on approach in a modern Centurion office.