Senior AI/ML Platform Engineer

Placements24; Mbombela (Nelspruit); On-site; ZAR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Competitive salary

Performance-based bonuses

Health, dental, and vision insurance

Generous vacation policy

Professional development

Access to state-of-the-art technology

Job summary

Placements24 seeks a Senior AI/ML Platform Engineer to join the core technology team in Nelspruit. You will build scalable AI/ML infrastructure to empower data science and model deployment at scale.

Lead ML CI/CD, data-management workflows, feature stores, and monitoring. Collaborate with data scientists and engineers, adopting cutting-edge MLOps and innovating with new technologies.

Qualifications

• Master's degree in Computer Science, Engineering, or a related technical field.
• 6+ years of experience in software/infrastructure engineering, with at least 3 years focused on ML platforms.
• Strong proficiency in cloud environments (AWS, Azure, GCP) and Kubernetes.
• Experience with MLOps tools (MLflow, Kubeflow, SageMaker).
• Proficiency in Python, Go or Java and familiarity with distributed systems, IaC, and automation.

Responsibilities

• Design, build, and operate scalable and reliable AI/ML infrastructure and platforms.
• Develop and manage CI/CD pipelines for ML models and services.
• Implement tools/workflows for data management, feature stores, model training, and serving.
• Monitor platform performance, troubleshoot issues, and ensure high availability and scalability.
• Collaborate with data scientists and ML engineers to understand platform needs and provide solutions.
• Research and integrate new technologies to enhance AI/ML platform capabilities.

Skills

Distributed systems

Automation

Infrastructure as Code

CI/CD

Education

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

Tools

Kubernetes

MLflow

Kubeflow

SageMaker

Python

Go

Java

AWS

Azure

GCP

Job description

About the Role

Our client is seeking a highly experienced Senior AI/ML Platform Engineer to join their core technology team in Nelspruit . This critical role focuses on building, scaling, and maintaining the robust infrastructure and platforms that empower their data science and machine learning teams. You will be instrumental in developing the tools, services, and frameworks that enable efficient model development, training, deployment, and monitoring. This is a prime opportunity for a skilled engineer passionate about enabling AI innovation by providing world-class platform capabilities in a collaborative, high-impact environment, driving the technical foundations of their AI initiatives.

Key Responsibilities

• Design, build, and operate scalable and reliable AI/ML infrastructure and platforms.
• Develop and manage CI/CD pipelines for machine learning models and services.
• Implement tools and workflows for data management, feature stores, model training, and serving.
• Monitor platform performance, troubleshoot issues, and ensure high availability and scalability.
• Collaborate with data scientists and ML engineers to understand their platform needs and provide solutions.
• Research and integrate new technologies to enhance the AI/ML platform capabilities.

Requirements

• Master's degree in Computer Science, Engineering, or a related technical field.
• 6+ years of experience in software engineering or infrastructure engineering, with at least 3 years focussed on ML platforms.
• Strong proficiency in cloud environments (AWS, Azure, GCP) and container orchestration (Kubernetes).
• Experience with MLOps tools and best practices (e.g., MLflow, Kubeflow, SageMaker).
• Proficiency in programming languages such as Python, Go, or Java.
• Solid understanding of distributed systems, infrastructure as code, and automation.

Benefits

• Competitive salary and substantial performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous vacation policy and paid time off.
• Opportunities for professional development, including conferences and training.
• Access to state-of-the-art technology and tools.
• A culture that fosters innovation, collaboration, and continuous improvement.