AI/ML Platform Engineer

Placements24; Vereeniging; Hybrid; ZAR 700,000 - 950,000; Full time

Benefits offered by this job

Competitive salary

Benefits package

Advanced tools access

Hybrid work arrangement

Professional development

Job summary

Placements24 in Vereeniging is seeking an experienced AI/ML Platform Engineer to enhance cutting-edge machine learning infrastructure. You will architect scalable and reliable platforms that empower data scientists to develop and deploy AI models efficiently.

You'll build and automate MLOps pipelines, manage cloud resources, and ensure performance and security of the ML environment, fostering collaboration and robust engineering practices across the team.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Experience in software engineering focusing on infrastructure or platform engineering.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Familiarity with ML workflows and MLOps best practices.
• Strong programming skills in Python or Go, and experience with infrastructure-as-code tools.

Responsibilities

• Design, build, and maintain scalable and reliable AI/ML infrastructure and platforms.
• Develop and automate MLOps pipelines for model training, deployment, and monitoring.
• Manage cloud-based resources and services for AI/ML workloads (e.g., Kubernetes, Docker).
• Ensure the performance, scalability, and security of the ML platform.
• Collaborate with data scientists and ML engineers to understand their infrastructure needs and provide solutions.

Skills

Python

Go

Infrastructure as code

Education

Bachelor's degree in Computer Science, Engineering, or a related field

Tools

AWS

Azure

GCP

Docker

Kubernetes

Job description

About the Role

Our client is seeking an experienced AI/ML Platform Engineer to enhance their cutting-edge machine learning infrastructure in Vereeniging. This role is crucial for building and maintaining scalable, reliable platforms that empower data scientists and engineers to develop and deploy AI models efficiently. You will be instrumental in architecting MLOps pipelines, managing cloud resources, and ensuring the performance and security of the ML environment, fostering a collaborative atmosphere where robust engineering practices meet the demands of advanced AI research and development, ensuring the seamless operation and continuous improvement of the underlying technology stack that supports critical AI initiatives.

Key Responsibilities

• Design, build, and maintain scalable and reliable AI/ML infrastructure and platforms.
• Develop and automate MLOps pipelines for model training, deployment, and monitoring.
• Manage cloud-based resources and services for AI/ML workloads (e.g., Kubernetes, Docker).
• Ensure the performance, scalability, and security of the ML platform.
• Collaborate with data scientists and ML engineers to understand their infrastructure needs and provide solutions.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience in software engineering, with a focus on infrastructure or platform engineering.
• Hands‑on experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Familiarity with ML workflows and MLOps best practices.
• Strong programming skills in Python or Go, and experience with infrastructure-as-code tools.

Benefits

• Competitive salary and comprehensive benefits package.
• Opportunity to shape the future of AI infrastructure.
• Access to advanced tools and technologies.
• Supportive team culture and professional development opportunities.
• Hybrid work arrangements for work-life balance.