Senior AI/ML Platform Engineer

Placements24; Vereeniging; Hybrid; ZAR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Performance bonus

Health insurance

Hybrid work model

Paid time off

Professional development

Conferences

Job summary

Placements24 is seeking a Senior AI/ML Platform Engineer in Vereeniging, Gauteng to design, build and maintain scalable MLOps platforms that empower data scientists and engineers to train, deploy, and monitor ML models.

Ship robust ML infrastructure with CI/CD, cloud services (AWS/Azure/GCP), and container orchestration using Docker and Kubernetes, while controlling costs and ensuring security.

Qualifications

• Bachelor's or Master's in computer science, engineering or related field.
• 5+ years in software engineering or site reliability with ML platforms/MLOps.
• Proven production ML systems experience.
• Strong Python/Go coding skills.
• Experience with AWS/Azure/GCP ML services.
• Kubernetes and Docker expertise; IaC tooling exposure.

Responsibilities

• Design, build, and maintain scalable MLOps infrastructure and platforms.
• Automate ML workflows: data pipelines, training, deployment, monitoring.
• Implement CI/CD for ML models and pipelines.
• Manage cloud-based ML environments (AWS/Azure/GCP).
• Work with Docker and Kubernetes for deployment and scaling.
• Collaborate with data scientists to meet infrastructure needs.
• Ensure security, performance, and cost efficiency of the platform.
• Troubleshoot ML infra issues and optimize pipelines.
• Stay updated on MLOps trends and define best practices.

Skills

Python

Go

MLOps

CI/CD

Cloud platforms

Education

Bachelor's or Master's in CS/Engineering

Tools

Docker

Kubernetes

Terraform

Ansible

Jenkins

Job description

About the Role

Our client is seeking a highly skilled and experienced Senior AI/ML Platform Engineer to bolster their advanced AI development capabilities in Vereeniging, Gauteng . This role is central to building, scaling, and maintaining the infrastructure that powers our client's machine learning operations (MLOps). You will be instrumental in designing and implementing robust platforms that enable data scientists and engineers to efficiently develop, train, deploy, and monitor ML models. The ideal candidate possesses a strong background in software engineering, cloud computing, and a deep understanding of the ML lifecycle. Join our client to drive innovation and efficiency in AI development.

Key Responsibilities

• Design, build, and maintain scalable and reliable MLOps infrastructure and platforms.
• Develop and automate ML workflows, including data pipelines, model training, deployment, and monitoring.
• Implement CI/CD practices for machine learning models.
• Manage and optimize cloud-based ML environments (AWS, Azure, GCP).
• Work with containerization technologies like Docker and Kubernetes.
• Collaborate with data scientists and ML engineers to understand their infrastructure needs.
• Ensure the security, performance, and cost-effectiveness of the ML platform.
• Troubleshoot and resolve issues related to the ML infrastructure and deployment pipelines.
• Stay current with emerging trends and technologies in MLOps and AI infrastructure.
• Contribute to the definition of best practices for AI/ML platform development.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Minimum of 5 years of experience in software engineering or site reliability engineering, with at least 2 years focused on ML platforms/MLOps.
• Proven experience building and managing production ML systems.
• Strong proficiency in programming languages like Python and/or Go.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Expertise in containerization (Docker) and orchestration (Kubernetes).
• Familiarity with CI/CD tools and practices (e.g., Jenkins, GitLab CI, Argo CD).
• Understanding of machine learning concepts and workflows.
• Experience with infrastructure-as-code tools (e.g., Terraform, Ansible) is a plus.
• Excellent problem-solving and communication skills.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Hybrid work model offering flexibility.
• Generous paid time off and holidays.
• Opportunities for professional development, including certifications and conferences.
• Access to cutting-edge technology and collaborative projects in Vereeniging, Gauteng .
• Be part of a leading-edge AI team shaping the future of technology.
• Supportive work environment focused on innovation and growth.