MLOps Engineer - Scalable AI Systems

Our client is seeking a proficient MLOps Engineer to enhance their AI and Emerging Technologies capabilities in Polokwane . You will be responsible for bridging the gap between machine learning model development and deployment, ensuring robust, scalable, and automated ML pipelines. Your expertise will be critical in streamlining the ML lifecycle, from experimentation to production monitoring and maintenance. This role offers a chance to work with cutting-edge technologies and contribute to the operational excellence of AI systems in a rapidly growing sector within Limpopo .

• Build, automate, and maintain CI/CD pipelines for machine learning models.
• Implement and manage infrastructure for training, deploying, and monitoring ML models in production environments.
• Collaborate closely with data scientists and software engineers to optimize model performance and deployment strategies.
• Develop tools and frameworks for experiment tracking, model versioning, and reproducibility.
• Monitor ML systems for performance, reliability, and scalability, implementing necessary improvements.
• Ensure the security and compliance of ML operations and infrastructure.

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 2+ years of experience in MLOps, Dev Ops, or software engineering with a focus on ML systems.
• Proficiency in scripting languages such as Python and shell scripting.
• Experience with containerization technologies (Docker, Kubernetes).
• Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services.
• Knowledge of ML frameworks (Tensor Flow, PyTorch, Scikit-learn) and MLOps tools (e.g., MLflow, Kubeflow).

• Competitive salary and performance bonuses.
• Comprehensive health, dental, and vision benefits.
• Retirement savings plan.
• Opportunities for professional development and attending industry conferences.
• Hybrid work model in Polokwane , offering a balance between office collaboration and remote work.