Senior AI/ML Platform Engineer

Placements24; Randburg; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Remote work

Competitive salary

Professional growth

Job summary

Placements24 is seeking a Senior AI/ML Platform Engineer to join the team remotely. You will design, build, and optimize scalable AI/ML infrastructure, collaborating with data scientists to enable cutting-edge research.

The role emphasizes reliability, security, and performance across cloud-based platforms, with opportunity for professional growth in a leadersh ip AI environment.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5+ years in platform engineering, DevOps, or SRE with ML systems focus.
• Strong experience with AWS/Azure/GCP and infrastructure-as-code.

Responsibilities

• Design and maintain scalable AI/ML infrastructure.
• Develop and manage CI/CD pipelines for ML models and data.
• Implement monitoring, logging, and alerting for platform health.
• Collaborate with data scientists and ML engineers to meet platform needs.

Skills

Cloud platforms

IaC tools

Docker

Kubernetes

MLOps

Python

Bash

SRE

Education

Bachelor's degree in CS/Engineering

Tools

Terraform

CI/CD tools

Job description

About the Role

Our client is seeking a talented Senior AI/ML Platform Engineer to join their dynamic team remotely. This role is essential for building and maintaining the scalable, robust infrastructure that supports our advanced AI and machine learning initiatives. You will design, develop, and optimize the platform components, ensuring high availability, performance, and security. This is a key position for an experienced engineer who is passionate about enabling cutting-edge AI research and development through powerful, reliable infrastructure.

Key Responsibilities

• Design, build, and maintain scalable infrastructure for AI/ML workloads (e.g., Kubernetes, Docker, cloud services).
• Develop and manage CI/CD pipelines for ML models and data pipelines.
• Implement monitoring, logging, and alerting systems for AI/ML platform health.
• Optimize infrastructure performance, cost, and security for AI/ML services.
• Collaborate with data scientists and ML engineers to understand and meet their platform needs.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 5+ years of experience in platform engineering, DevOps, or SRE roles, with a focus on ML systems.
• Strong expertise in cloud platforms (AWS, Azure, GCP) and infrastructure-as-code tools.
• Experience with containerization technologies (Docker, Kubernetes) and MLOps tools.
• Proficiency in scripting languages (e.g., Python, Bash) and systems administration.

Benefits

• Highly competitive salary and comprehensive benefits package.
• Significant opportunities for professional growth and skill development.
• Flexible remote working environment with full support.
• Exposure to the latest advancements in AI and infrastructure technologies.
• A culture of innovation and collaboration among a leading AI team.