AI Platform Engineer

Placements24; East London; On-site; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Competitive salary

East London location

Career growth opportunities

Job summary

Placements24 is seeking an experienced AI Platform Engineer to join our client’s team in East London. You will design, build and maintain the cloud-based infrastructure and tools that enable scalable AI and ML deployments, collaborating with data scientists and software engineers.

You will drive CI/CD for ML models, automate workflows across data ingestion, training, deployment and monitoring, and ensure security, reliability and performance of the AI platform in a fast-paced environment.

Qualifications

• 3+ years in DevOps/Cloud/MLOps.
• Experience with AWS, Azure or GCP.
• IaC experience with Terraform/CloudFormation.
• Experience with Docker and Kubernetes.
• Familiarity with ML lifecycle and concepts.

Responsibilities

• Design and manage scalable cloud-based AI/ML infrastructure.
• Develop and maintain CI/CD pipelines for ML models.
• Automate ML workflows: data ingestion, training, deployment, monitoring.
• Implement data versioning, model management, and experiment tracking.
• Ensure reliability, security, and performance of the AI platform.

Skills

DevOps experience

MLOps familiarity

ML lifecycle knowledge

Education

Bachelors in CS/Engineering

Tools

Terraform

CloudFormation

Docker

Kubernetes

Job description

About the Role

Our client is seeking an experienced AI Platform Engineer to join their team in East London. You will be responsible for building and maintaining the infrastructure and tools that enable the development and deployment of AI and machine learning models at scale. This role requires a strong background in cloud infrastructure, DevOps practices, and a solid understanding of the ML lifecycle. You will work closely with data scientists and engineers to ensure a seamless and efficient AI development process. This is an exciting opportunity to contribute to the core AI capabilities of the organization.

Key Responsibilities

• Design, implement, and manage scalable cloud-based infrastructure for AI/ML workloads.
• Develop and maintain CI/CD pipelines for ML models and applications.
• Automate ML workflows, including data ingestion, model training, deployment, and monitoring.
• Implement tools and platforms for data versioning, model management, and experiment tracking.
• Ensure the reliability, security, and performance of the AI platform.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in DevOps, Cloud Engineering, or MLOps.
• Proficiency with cloud platforms (AWS, Azure, GCP) and infrastructure-as-code tools (e.g., Terraform, CloudFormation).
• Experience with containerization technologies (Docker, Kubernetes).
• Familiarity with machine learning concepts and the ML lifecycle.

Benefits

• Competitive salary and comprehensive benefits.
• Opportunity to work on advanced AI infrastructure.
• Professional growth and development opportunities.
• Collaborative team environment in East London.
• Contribute to building a cutting-edge AI platform.