AI/ML Platform Engineer

Placements24; Polokwane; Hybrid; ZAR 600,000 - 1,100,000; Full time

Benefits offered by this job

Competitive salary and incentives

Comprehensive medical, dental, and退休/退

Hybrid work model

Job summary

Placements24 in Polokwane, Limpopo, seeks an AI/ML Platform Engineer to design and maintain scalable ML infrastructure, enabling data scientists to build, train, and deploy models seamlessly. The hybrid role focuses on cloud-native platforms, MLOps pipelines, and tooling, with emphasis on reliability, security, and performance.

Collaboration with ML engineers and data scientists is essential for success. Join a forward‑looking team offering competitive compensation, comprehensive benefits, and

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of experience in software engineering, with a focus on platform development or MLOps.
• Proficiency in cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
• Experience with ML frameworks and libraries.
• Strong understanding of CI/CD, infrastructure as code, and monitoring tools.

Responsibilities

• Design, build, and maintain scalable ML infrastructure and MLOps pipelines.
• Develop tools and frameworks to streamline the ML development lifecycle.
• Ensure the reliability, performance, and security of AI/ML platforms.
• Collaborate with data scientists and ML engineers to understand their needs and provide solutions.
• Automate deployment, monitoring, and management of ML models in production.

Skills

Platform development

MLOps

Cloud platforms

Docker/Kubernetes

CI/CD

Education

Bachelor's degree in CS/Engineering

Tools

Docker

Kubernetes

CI/CD tools

Job description

About the Role

Our client is looking for a skilled AI/ML Platform Engineer to join their team in Polokwane . This role is essential for building and maintaining the infrastructure that powers our advanced AI and machine learning initiatives. You will be responsible for developing scalable, reliable, and efficient platforms that enable data scientists and engineers to build, train, and deploy models seamlessly. This hybrid position offers the opportunity to work on critical infrastructure at the intersection of AI, cloud computing, and software engineering.

Key Responsibilities

• Design, build, and maintain scalable ML infrastructure and MLOps pipelines.
• Develop tools and frameworks to streamline the ML development lifecycle.
• Ensure the reliability, performance, and security of AI/ML platforms.
• Collaborate with data scientists and ML engineers to understand their needs and provide solutions.
• Automate deployment, monitoring, and management of ML models in production.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of experience in software engineering, with a focus on platform development or MLOps.
• Proficiency in cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
• Experience with ML frameworks and libraries.
• Strong understanding of CI/CD, infrastructure as code, and monitoring tools.

Benefits

• Competitive salary and performance-based incentives.
• Comprehensive medical, dental, and retirement benefits.
• Hybrid work model providing work-life balance.
• Opportunities to work with cutting-edge AI technologies.
• Continuous learning and professional development support.