AI Platform Engineer - MLOps Specialist

Placements24; Polokwane; On-site; ZAR 600,000 - 1,000,000; Full time

Benefits offered by this job

Health insurance

Retirement contributions

Training opportunities

Certifications

Industry events attendance

Job summary

Placements24 is seeking an AI Platform Engineer with a strong MLOps focus in Polokwane to design and maintain scalable AI infrastructure. You will automate ML pipelines, enable reliable model deployment, and collaborate with data scientists to optimize production workloads.

The role emphasizes containerization (Docker, Kubernetes), cloud services (AWS/Azure/GCP), and IaC for scalable ML platforms. Join a dynamic team driving cutting-edge AI initiatives in Polokwane.

Qualifications

• Bachelor's degree in CS, Engineering, or related field.
• Proven experience as Software/DevOps/ML Engineer with MLOps focus.
• Strong ML lifecycle understanding and Python proficiency.
• Experience with containerization: Docker, Kubernetes.
• Hands-on with cloud platforms (AWS/Azure/GCP) for ML services.
• Familiarity with MLOps tools: MLflow, Kubeflow, TFX.
• Experience with CI/CD tools: Jenkins, GitHub Actions.
• IaC principles/tools: Terraform, CloudFormation.

Responsibilities

• Design, build, and maintain scalable AI/ML infrastructure and platforms.
• Implement and manage MLOps pipelines for training, testing, deployment, and monitoring.
• Develop and manage CI/CD processes for ML models.
• Ensure performance, scalability, and reliability of AI production systems.
• Work with cloud services to provision and manage AI infrastructure resources.
• Implement monitoring and alerting for ML models and infra.
• Automate data preparation, model versioning, and experiment tracking.
• Collaborate with data scientists to troubleshoot production issues.
• Contribute to standardization of ML tooling and best practices.

Skills

Python

DevOps

MLOps

Docker

Kubernetes

Education

Bachelor's degree in Computer Science or related

Tools

MLflow

Kubeflow

Terraform

Job description

About the Role

Our client, a prominent entity in the AI & Emerging Technologies sector, is looking for a skilled AI Platform Engineer with a strong MLOps focus to join their team in Polokwane . This role is essential for building and maintaining the infrastructure that supports our client's AI development and deployment lifecycle. You will be responsible for automating and optimizing the end-to-end machine learning pipeline, ensuring scalability, reliability, and efficiency. The ideal candidate will have a solid background in software engineering, DevOps practices, and a deep understanding of machine learning workflows. This is a fantastic opportunity to work on cutting-edge AI technologies and contribute to the operational excellence of our client's AI initiatives. You will play a crucial role in enabling faster and more reliable deployment of AI models, working within a dynamic team in Polokwane .

Key Responsibilities

• Design, build, and maintain scalable and reliable AI/ML infrastructure and platforms.
• Implement and manage MLOps pipelines for automated model training, testing, deployment, and monitoring.
• Develop and manage CI/CD processes for machine learning models.
• Ensure the performance, scalability, and reliability of AI production systems.
• Work with cloud services (AWS, Azure, GCP) to provision and manage AI infrastructure resources.
• Implement monitoring and alerting systems for ML models and infrastructure.
• Automate workflows for data preparation, model versioning, and experimentation tracking.
• Collaborate with data scientists and ML engineers to troubleshoot and resolve production issues.
• Contribute to the standardization of ML tooling and best practices within the organization.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Software Engineer, DevOps Engineer, or ML Engineer with a focus on MLOps.
• Strong understanding of machine learning concepts and the ML lifecycle.
• Proficiency in programming languages such as Python.
• Experience with containerization technologies (Docker, Kubernetes).
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and their ML services.
• Familiarity with MLOps tools and frameworks (e.g., MLflow, Kubeflow, TFX).
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions).
• Solid understanding of infrastructure as code (IaC) principles and tools (e.g., Terraform, CloudFormation).

Benefits

Our client offers a competitive salary, performance-based bonuses, and a comprehensive benefits package including health insurance and retirement contributions. We are committed to employee development, offering training opportunities, certifications, and support for attending relevant industry events. This role provides a great opportunity to grow your career in the rapidly expanding field of AI and MLOps. Enjoy working in a modern facility in Polokwane , contributing to impactful projects within a supportive and innovative team environment. Join us to build the future of AI infrastructure.