AI Engineer - MLOps Specialist
Summary
An AI Engineer with an MLOps focus designs and maintains CI/CD pipelines, containerized infrastructure (Docker/Kubernetes), and automated model training, deployment, and monitoring for a client's team in Mahikeng, South Africa. Core stack: Python/Bash, AWS/Azure/GCP, Kubernetes, and common ML frameworks.
About the Role
Our client is seeking a skilled AI Engineer with expertise in MLOps to join their technology team in Mahikeng . This role is vital for building and maintaining robust infrastructure and workflows that enable the efficient development, deployment, and scaling of machine learning models. You will work at the intersection of AI development and operations, ensuring seamless integration and operational excellence. This is a fantastic opportunity to contribute to the operational maturity of AI initiatives within a growing organization, fostering a culture of continuous improvement and reliable delivery.
Key Responsibilities
- Design, build, and manage CI/CD pipelines for machine learning models.
- Implement tools and practices for automated model training, testing, deployment, and monitoring.
- Develop and maintain infrastructure for MLOps, including containerization and orchestration.
- Collaborate with data scientists and engineers to streamline the ML model lifecycle.
- Ensure the reliability, scalability, and performance of ML deployment environments.
- Troubleshoot and resolve issues related to ML model deployment and operational performance.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 2+ years of experience as an MLOps Engineer, DevOps Engineer with ML experience, or AI Engineer.
- Proficiency in scripting languages (e.g., Python, Bash) and cloud platforms (AWS, Azure, GCP).
- Experience with containerization technologies (Docker) and orchestration tools (Kubernetes).
- Familiarity with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and ML platforms.
- Strong understanding of CI/CD principles and infrastructure as code.
Benefits
- Competitive salary and comprehensive benefits package.
- Opportunities for professional development and certification in MLOps and Cloud technologies.
- Work on cutting-edge AI projects and contribute to operational excellence.
- A collaborative and innovative work culture.
- Hybrid work arrangements for enhanced work-life balance.