Machine Learning Operations; MLOps) Engineer

Our client, a significant innovator in AI & Emerging Technologies , is looking for a skilled Machine Learning Operations (MLOps) Engineer to join their team in Soweto, Gauteng . This role is crucial for bridging the gap between machine learning model development and production deployment, ensuring seamless integration, scalability, and reliability. You will be responsible for building and maintaining robust MLOps pipelines, automating ML workflows, and implementing best practices for CI/CD in ML.

The ideal candidate has a strong background in both software engineering and machine learning operations. This is an exciting opportunity to contribute to cutting‑edge AI projects and shape the operational excellence of machine learning systems from our Soweto location. We promote a culture of continuous improvement and collaboration.

• Design, build, and maintain scalable MLOps pipelines for automated model training, deployment, and monitoring.
• Implement CI/CD practices for machine learning models.
• Develop and manage infrastructure for ML model deployment, including containerization (Docker) and orchestration (Kubernetes).
• Monitor ML model performance in production and implement strategies for retraining and updating models.
• Collaborate closely with data scientists and software engineers to streamline the ML lifecycle.
• Ensure the reliability, scalability, and security of ML systems.
• Automate data validation, model testing, and deployment processes.
• Stay current with emerging MLOps tools, technologies, and best practices.
• Troubleshoot and resolve issues related to ML infrastructure and pipelines.

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
• Proven experience (3+ years) in MLOps, Dev Ops, or a related role focused on automating ML workflows.
• Strong programming skills in Python and experience with shell scripting.
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Proficiency with containerization technologies (Docker) and orchestration tools (Kubernetes).
• Familiarity with CI/CD tools (e.g., Jenkins, Git Lab CI, Git Hub Actions).
• Understanding of machine learning concepts and workflows.
• Experience with infrastructure as code (IaC) tools (e.g., Terraform, Ansible) is a plus.
• Excellent problem‑solving and debugging skills.
• Strong communication and teamwork abilities, essential for our Soweto, Gauteng team.

Our client offers a competitive salary, comprehensive health and wellness benefits, retirement fund contributions, and performance incentives. Professional development opportunities, including specialized MLOps training and certifications, are provided. This hybrid role, based in Soweto , offers a blend of collaborative in-office work and remote flexibility. Join a team driving innovation in AI & Emerging Technologies and ensuring their reliable application.