AI/ML Platform Engineer

Placements24; Bloemfontein; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Professional development

Flexible working

Job summary

Placements24 is seeking an experienced AI/ML Platform Engineer to join their Bloemfontein team. The role focuses on building, maintaining, and scaling the MLOps platform that enables data scientists and engineers to efficiently develop, train, deploy, and monitor ML models.

You will work with cloud technologies and big data tools to create a robust AI development environment, collaborating with a growth‑oriented team. A strong software engineering and DevOps background is essential.

Qualifications

• Bachelor's degree in Computer Science, Engineering or related field.
• 4+ years of software engineering or DevOps with scalable platform experience.
• Proven experience with MLOps tools and frameworks (Kubeflow, MLflow, TFX, SageMaker Pipelines, Azure ML Pipelines).
• Strong containerization knowledge (Docker, Kubernetes) and cloud services (AWS, Azure, GCP).
• Proficient in Python and Bash, with CI/CD expertise (Jenkins, GitHub Actions, GitLab CI).
• Familiarity with data storage/processing (SQL, NoSQL, Spark) and collaboration skills.

Responsibilities

• Design, build, and maintain the MLOps platform infrastructure for end-to-end ML lifecycle.
• Automate data pipelines, model training, deployment, and monitoring workflows.
• Implement CI/CD pipelines and optimize platform performance and reliability.
• Collaborate with data scientists and ML engineers to meet platform needs.
• Manage cloud resources (AWS, Azure, GCP) for ML workloads and security controls.
• Ensure model versioning, experiment tracking, and compliance practices.

Skills

Python

Bash

Docker

Kubernetes

CI/CD

Kubeflow

MLflow

TFX

SageMaker Pipelines

Azure ML Pipelines

Education

Bachelor's degree in CS/Engineering

Tools

Jenkins

GitHub Actions

GitLab CI

Spark

SQL/NoSQL

Job description

About the Role

Our client, a leader in providing scalable AI infrastructure solutions, is seeking an experienced AI/ML Platform Engineer to join their innovative team in Bloemfontein, Free State . This role is pivotal in building, maintaining, and scaling the MLOps platform that enables data scientists and engineers to efficiently develop, train, deploy, and monitor machine learning models. You will work with cutting-edge cloud technologies and big data tools to create a robust and efficient AI development environment. The ideal candidate has a strong background in software engineering, DevOps, and a solid understanding of the machine learning lifecycle. This is an excellent opportunity to contribute to the core infrastructure that powers advanced AI capabilities in a collaborative and growth-oriented setting.

Key Responsibilities

Design, build, and maintain the MLOps platform infrastructure to support the end-to-end machine learning lifecycle. Develop and automate workflows for data pipelines, model training, deployment, and monitoring. Implement and manage CI/CD pipelines for machine learning models. Optimize platform performance, scalability, and reliability. Collaborate with data scientists and ML engineers to understand their needs and provide robust platform solutions. Manage and configure cloud resources (e.g., AWS, Azure, GCP) for AI/ML workloads. Implement tools and practices for model versioning, experimentation tracking, and experiment management. Ensure security and compliance of the ML platform. Troubleshoot and resolve issues related to the ML platform and its components. Contribute to the adoption of best practices in MLOps and cloud-native development.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related technical field. 4+ years of experience in software engineering or DevOps, with a strong focus on building and managing scalable platforms. Proven experience with MLOps tools and frameworks (e.g., Kubeflow, MLflow, TFX, SageMaker Pipelines, Azure ML Pipelines). Strong understanding of containerization technologies like Docker and Kubernetes. Experience with cloud platforms (AWS, Azure, GCP) and their services relevant to ML. Proficiency in scripting languages such as Python, Bash. Solid understanding of CI/CD principles and tools (e.g., Jenkins, GitLab CI, GitHub Actions). Familiarity with data storage and processing technologies (e.g., SQL, NoSQL, Spark). Excellent problem-solving and troubleshooting skills. Strong communication and collaboration abilities.

Benefits

Our client offers a competitive salary, comprehensive health and wellness benefits, and a retirement savings plan. Enjoy ample opportunities for professional development, training, and career advancement. The company fosters a collaborative and innovative work culture. Flexible working arrangements are available. This role provides a chance to work with advanced technologies and contribute to impactful AI initiatives within a growing organization.