AI/ML Operations (MLOps) Engineer

Our client is seeking a highly skilled AI/ML Operations (MLOps) Engineer to join their technology team in Upington. This role is crucial for building and maintaining robust, scalable, and automated systems for the deployment, monitoring, and management of machine learning models in production. You will bridge the gap between data science and operations, ensuring that our AI initiatives run efficiently and reliably. This is an exciting opportunity to work with cutting-edge AI technologies and play a key role in operationalizing machine learning at scale. Key Responsibilities Design, implement, and manage MLOps pipelines for continuous integration, delivery, and deployment of ML models. Develop and maintain infrastructure for training, testing, and serving ML models in production environments. Implement monitoring solutions to track model performance, detect drift, and trigger retraining. Automate operational tasks related to ML model lifecycle management. Collaborate with data scientists and software engineers to ensure smooth deployment and integration of ML solutions. Troubleshoot and resolve issues related to ML model performance and operational stability. Requirements Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. 3+ years of experience in software engineering, DevOps, or MLOps. Strong experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Proficiency in scripting languages such as Python. Experience with ML frameworks and tools (e.g., TensorFlow, PyTorch, MLflow, Kubeflow). Solid understanding of CI/CD principles and infrastructure as code. Benefits Competitive salary and performance-based bonuses. Comprehensive health, dental, and vision insurance. Opportunities for professional growth and specialization in MLOps. A collaborative and innovative work environment in Upington. Retirement savings plan and generous paid time off. #J-18808-Ljbffr Placements24