AI Platform Engineer - MLOps

Placements24; Stellenbosch; On-site; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive salary

Performance-based bonuses

Health, dental, and vision insurance

Professional development & continuous學

Exposure to cutting-edge AI tech

Dynamic collaborative work environment

Generous PTO and holidays

Retirement fund contributions

Team events

Job summary

Placements24 is seeking an AI Platform Engineer specializing in MLOps to join our Stellenbosch tech hub. You will design and operate end-to-end ML lifecycles, architect scalable MLOps infra, and enable data scientists to deploy models rapidly with reliable monitoring and governance.

You will implement CI/CD pipelines, IaC, and robust observability, collaborating with cross-functional teams to drive AI innovation while ensuring security, scalability, and efficiency in a dynamic environment.

Qualifications

• 4+ years in software engineering, DevOps, or SRE with ML platforms/MLOps focus.
• Strong understanding of ML lifecycle and workflows.
• Proficiency in Python and Bash scripting.
• Experience with Docker, Kubernetes, and CI/CD tools (Jenkins, GitLab CI, GitHub Actions).
• Cloud familiarity (AWS, Azure, GCP) and ML services.
• Infrastructure as code (Terraform, Ansible).
• Monitoring/logging tools (Prometheus, Grafana, ELK).
• Excellent problem-solving and debugging, plus strong communication.

Responsibilities

• Design, build, and maintain scalable MLOps infra and CI/CD pipelines.
• Implement tools for model training, versioning, deployment, monitoring, and retraining.
• Collaborate with data scientists to understand needs and provide platform solutions.
• Automate ML workflows and operational tasks to improve efficiency.
• Ensure performance, scalability, and security of the AI platform.
• Develop IaC for ML environments and monitor system health.
• Troubleshoot issues and ensure platform stability.
• Stay up-to-date with latest MLOps tools and practices.
• Document platform architecture, processes, and best practices.
• Contribute to AI strategy and technology roadmap.

Skills

Strong communication

Collaboration

Problem-solving

Debugging skills

Education

Bachelor's degree in Computer Science / Engineering or related field

Tools

Python

Bash

Docker

Kubernetes

Jenkins

GitLab CI

GitHub Actions

AWS

Azure

GCP

Terraform

Ansible

Prometheus

Grafana

ELK stack

Job description

About the Role

Our client is seeking a skilled and driven AI Platform Engineer specializing in MLOps to join their technology hub in Stellenbosch, Western Cape. This role is critical for building and maintaining the robust infrastructure that powers our AI and machine learning initiatives. You will be responsible for designing, implementing, and optimizing the end-to-end machine learning lifecycle, ensuring efficient development, deployment, and monitoring of AI models. The ideal candidate will have a strong background in software engineering, DevOps, and a deep understanding of machine learning workflows. This position in Stellenbosch, Western Cape offers a fantastic opportunity to work with a talented team on challenging projects at the forefront of AI innovation. You will play a key role in enabling our data scientists and ML engineers to deploy models rapidly and reliably, ensuring scalability and operational excellence.

Key Responsibilities

• Design, build, and maintain scalable and reliable MLOps infrastructure and CI/CD pipelines for machine learning models.


• Implement tools and processes for model training, versioning, deployment, monitoring, and retraining.


• Collaborate with data scientists and ML engineers to understand their needs and provide robust platform solutions.


• Automate machine learning workflows and operational tasks to improve efficiency and reduce time-to-market.


• Ensure the performance, scalability, and security of the AI platform.


• Develop and maintain infrastructure as code (IaC) for ML environments.


• Monitor system health, troubleshoot issues, and implement solutions to ensure platform stability.


• Stay up-to-date with the latest MLOps tools, technologies, and best practices.


• Document platform architecture, processes, and best practices.


• Contribute to the overall AI strategy and technology roadmap.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.


• Minimum of 4 years of experience in software engineering, DevOps, or Site Reliability Engineering (SRE), with a focus on ML platforms and MLOps.


• Strong understanding of the machine learning lifecycle and common ML workflows.


• Proficiency in scripting languages such as Python, Bash.


• Experience with containerization technologies (e.g., Docker, Kubernetes).


• Experience with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions).


• Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services.


• Experience with infrastructure as code tools (e.g., Terraform, Ansible).


• Understanding of monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).


• Excellent problem-solving and debugging skills.


• Strong communication and collaboration abilities.

Benefits

• Competitive salary and performance-based bonuses.


• Comprehensive health, dental, and vision insurance.


• Opportunities for professional development and continuous learning.


• Exposure to cutting-edge AI technologies and challenging projects.


• A dynamic and collaborative work environment in Stellenbosch, Western Cape.


• Generous paid time off and holidays.


• Retirement fund contributions.


• Regular team events and social activities.