Machine Learning Ops; MLOps) Engineer

Our client is seeking a skilled Machine Learning Ops (MLOps) Engineer to join their technology-focused team in Soweto . This role is crucial for bridging the gap between machine learning development and production deployment, ensuring that AI models are efficiently built, deployed, monitored, and maintained. You will work closely with data scientists and software engineers to streamline the ML lifecycle and build robust, scalable MLOps infrastructure.

This is an excellent opportunity to contribute to the operational excellence of AI systems within the Gauteng region and advance your career in a rapidly evolving field.

• Design, build, and maintain scalable and reliable MLOps pipelines for CI/CD of machine learning models.
• Automate model training, deployment, and monitoring processes.
• Implement tools and infrastructure for managing ML experiments, data versioning, and model versioning.
• Collaborate with data scientists to optimize models for production environments.
• Monitor deployed models for performance, drift, and potential issues, implementing necessary adjustments.
• Ensure the security, scalability, and efficiency of ML infrastructure.

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 2+ years of experience in MLOps, Dev Ops, or a related role with a focus on ML systems.
• Proficiency in Python and scripting languages.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Familiarity with ML frameworks (Tensor Flow, PyTorch) and MLOps tools (e.g., MLflow, Kubeflow).
• Strong understanding of software engineering best practices and system architecture.

• Competitive salary and comprehensive benefits package.
• Opportunities for professional development and learning in MLOps.
• A collaborative and innovative work environment in Soweto .
• Exposure to cutting-edge AI and machine learning technologies.
• Contribute to the efficient deployment of advanced AI solutions.