AI/ML Platform Engineer

Placements24; Paarl; Hybrid; ZAR 720,000 - 1,100,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

Learning opportunities

Hybrid work model

Paarl location experience

Job summary

Placements24 in Paarl, Western Cape seeks an innovative AI/ML Platform Engineer to join our growing tech team. You will build and maintain an infrastructure that enables data scientists to develop, train, and deploy ML models efficiently in cloud environments.

The role focuses on scalable, reliable platform design, MLOps tooling, and containerization with Docker and Kubernetes. You will collaborate with engineers and scientists to meet platform needs while maintaining security and performance.

Qualifications

• Bachelor's degree in CS/Engineering or a related technical field.
• Experience in platform engineering, DevOps or SRE for AI/ML infra.
• Proficiency with cloud platforms and IaC tools.
• Experience with Docker and Kubernetes.

Responsibilities

• Design, build, and manage AI/ML platform infrastructure on cloud environments (AWS/Azure/GCP).
• Implement and maintain MLOps tools for CI/CD, model versioning, monitoring, and deployment.
• Develop and manage containerization solutions (Docker, Kubernetes) for ML workloads.
• Automate infrastructure provisioning with Terraform or Ansible.
• Collaborate with data scientists and ML engineers to understand platform needs.
• Ensure scalability, reliability, and security of the AI/ML platform.
• Troubleshoot and resolve platform performance issues.

Skills

MLOps

Problem-solving

Teamwork

Communication

Education

Bachelor's degree in Computer Science or Engineering

Tools

Docker

Kubernetes

Terraform

Ansible

TensorFlow

PyTorch

AWS

Azure

GCP

Job description

About the Role

Our client is seeking an innovative AI/ML Platform Engineer to join their growing technology team in Paarl, Western Cape. This role is crucial for building and maintaining the infrastructure that empowers our data scientists and ML engineers to develop, train, and deploy machine learning models efficiently. You will be instrumental in creating a scalable, reliable, and user-friendly platform that supports the entire ML lifecycle, from data ingestion to model serving. The ideal candidate has a strong background in software engineering, MLOps, and cloud infrastructure, with a passion for enabling cutting-edge AI development. This position offers a fantastic opportunity to work at the intersection of AI and infrastructure in the picturesque Paarl, Western Cape.

Key Responsibilities

• Design, build, and manage the AI/ML platform infrastructure on cloud environments (e.g., AWS, Azure, GCP).
• Implement and maintain MLOps tools and processes for CI/CD, model versioning, monitoring, and deployment.
• Develop and manage containerization solutions (Docker, Kubernetes) for ML workloads.
• Automate infrastructure provisioning and management using tools like Terraform or Ansible.
• Collaborate with data scientists and ML engineers to understand their platform needs and provide solutions.
• Ensure the scalability, reliability, and security of the AI/ML platform.
• Troubleshoot and resolve issues related to platform performance and availability.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• Proven experience in platform engineering, DevOps, or SRE roles, with a focus on AI/ML infrastructure.
• Strong understanding of MLOps principles and tools.
• Experience with cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code tools.
• Proficiency in containerization technologies (Docker, Kubernetes).
• Familiarity with ML frameworks (e.g., TensorFlow, PyTorch) and data processing tools.
• Excellent problem-solving and debugging skills.
• Strong communication and teamwork abilities, essential for collaboration in Paarl, Western Cape.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health and wellness benefits.
• Opportunities for continuous learning and professional development in AI and cloud technologies.
• Exposure to cutting-edge AI projects and infrastructure challenges.
• Collaborative and innovative work environment.
• Hybrid work model offering flexibility and work-life balance.
• Work in the beautiful Paarl, Western Cape region.