Senior AI Platform Engineer

Placements24; Southampton; Hybrid; GBP 41,000 - 54,000; Full time

Benefits offered by this job

Hybrid work model

Health, dental, and vision insurance

Professional development opportunities

Job summary

Placements24 in Randburg is seeking a Senior AI Platform Engineer to design, build, and maintain scalable AI/ML platforms on cloud infrastructure. You will enable data scientists and ML engineers to train, deploy, and monitor models in a hybrid work environment.

The role emphasizes distributed systems, Terraform/Ansible, CI/CD for ML, security and performance. Strong cloud and containerization skills, plus Python, Go, or Java, are required.

Qualifications

• Bachelor’s or Master’s degree in CS, Engineering, or related field.
• 5+ years in software engineering with platform/infrastructure focus.
• Strong cloud experience and containerization (AWS/Azure/GCP; Docker/Kubernetes).
• Proficiency in Python, Go, or Java.
• Experience with MLOps and ML workflows.
• Hybrid work experience.

Responsibilities

• Design, build, and maintain scalable AI/ML platforms and infrastructure on cloud environments.
• Develop and manage CI/CD pipelines for machine learning models and applications.
• Implement and optimize tools for data management, model training, and model deployment.
• Ensure the reliability, security, and performance of the AI platform.
• Collaborate with data scientists and ML engineers to understand their needs and provide effective solutions.
• Automate infrastructure provisioning and management using Terraform or Ansible.

Skills

Distributed systems

Cloud infrastructure

MLOps

Python

Go

Java

CI/CD pipelines

Education

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

Tools

Terraform

Ansible

Docker

Kubernetes

Job description

About the Role

Our client is seeking a highly skilled Senior AI Platform Engineer to join their innovative team in Randburg . This hybrid role is crucial for building and maintaining the robust infrastructure that powers their advanced AI and machine learning initiatives. You will be responsible for developing scalable, reliable, and efficient platforms that enable data scientists and ML engineers to build, train, and deploy models seamlessly. The ideal candidate has a strong background in distributed systems, cloud infrastructure, and MLOps, coupled with a passion for enabling AI innovation in a dynamic, hybrid work environment.

Key Responsibilities

• Design, build, and maintain scalable AI/ML platforms and infrastructure on cloud environments.
• Develop and manage CI/CD pipelines for machine learning models and applications.
• Implement and optimize tools for data management, model training, and model deployment.
• Ensure the reliability, security, and performance of the AI platform.
• Collaborate with data scientists and ML engineers to understand their needs and provide effective solutions.
• Automate infrastructure provisioning and management using tools like Terraform or Ansible.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in software engineering, with a focus on platform engineering or infrastructure.
• Strong experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
• Proficiency in programming languages such as Python, Go, or Java.
• Familiarity with MLOps principles and tools, and experience supporting ML workflows.
• Excellent problem-solving skills and experience working in a hybrid team structure.

Benefits

• Competitive salary and performance incentives.
• Hybrid work model offering a balance of remote and in-office work.
• Comprehensive health, dental, and vision insurance.
• Opportunities for professional development and obtaining cloud certifications.
• Exposure to cutting-edge AI technologies and infrastructure challenges.
• A collaborative and growth-oriented team environment.