Lead ML Engineer & MLOps Architect

Placements24; Cape Town; Híbrido; ZAR 1.200.000 - 2.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Medical benefits

Retirement benefits

Generous vacation

Learning & growth

Relocation assistance

Stock options

Descripción de la vacante

Placements24 client in Cape Town seeks a Lead Machine Learning Engineer specializing in MLOps to design, deploy and scale ML systems. You will bridge data science and production, implement CI/CD for ML, monitor models, and mentor engineers.

The role emphasizes end-to-end ML lifecycle, security, and cost-efficient infrastructure in a cutting-edge tech environment. You'll collaborate with data scientists and software teams, optimize pipelines for performance, and contribute to platform

Formación

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 5+ years of software engineering experience with ML and MLOps.
• Experience designing end-to-end MLOps pipelines.

Responsabilidades

• Design, build, and manage MLOps pipelines for training, deployment, and monitoring.
• Develop infrastructure for deploying ML models in production environments.
• Implement CI/CD for ML workflows.
• Monitor production model performance and trigger retraining or updates.
• Collaborate with data scientists and software engineers to integrate models into existing systems.
• Optimize ML infrastructure for performance, scalability, and cost-efficiency.
• Implement security best practices for ML systems and data.
• Automate model validation, testing, and versioning.
• Contribute to the architectural decisions for the ML platform.
• Mentor junior engineers and promote best practices in MLOps.

Conocimientos

ML Engineering

MLOps

Python

Cloud Platforms

CI/CD

Model Monitoring

Educación

Bachelor’s or Master’s degree in CS/Engineering

Herramientas

Docker

Kubernetes

Airflow

Git

Jenkins

GitHub Actions

GitLab CI

Descripción del empleo

Placements24 client in Cape Town seeks a Lead Machine Learning Engineer specializing in MLOps to design, deploy and scale ML systems. You will bridge data science and production, implement CI/CD for ML, monitor models, and mentor engineers.

The role emphasizes end-to-end ML lifecycle, security, and cost-efficient infrastructure in a cutting-edge tech environment. You'll collaborate with data scientists and software teams, optimize pipelines for performance, and contribute to platform