As a Machine Learning Engineer at Psybergate, you'll focus on deploying and managing AI and ML models. This role is ideal for those who enjoy working with cloud technologies and want to make an impact in the AI field.
Psybergate is looking for a Machine Learning Engineer to join their team in Johannesburg. In this role, you will be responsible for deploying and operating AI and ML models on Azure Kubernetes Service. Your day-to-day tasks will involve developing scalable APIs and microservices that support these AI solutions, ensuring that they are efficient and reliable.
You will also monitor the performance of the models, checking for drift and overall operational health. This means you will need to be proactive in identifying issues and optimizing the models for better performance. The ideal candidate will have a strong background in deploying machine learning solutions and be comfortable working with cloud technologies.
Key responsibilities include: • Deploying AI/ML models on Azure Kubernetes Service • Developing APIs and microservices using Docker and Kubernetes • Monitoring model performance and reliability
This role suits individuals who are passionate about AI and have experience with cloud platforms. If you enjoy solving complex problems and working in a fast-paced environment, this could be the perfect opportunity for you. Strong skills in Docker, Kubernetes, and API development are essential for success in this position.
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