As a Machine Learning Engineer at Psybergate, you'll work on building and optimizing machine learning pipelines. This role is perfect for someone passionate about AI and eager to stay updated with the latest technologies.
Psybergate is a forward-thinking company based in Johannesburg, focusing on leveraging machine learning and AI to drive business solutions. As a Machine Learning Engineer, you will be responsible for developing and maintaining machine learning pipelines that are reusable and efficient. Your work will involve integrating MLOps practices, ensuring that the models are not only built but also deployed and monitored effectively.
In your day-to-day activities, you will collaborate with data scientists and other engineers to create robust systems that can handle the complexities of machine learning workflows. You will also be expected to implement CI/CD practices to automate testing and deployment processes, ensuring that the models are continuously improved and updated.
The ideal candidate for this role is someone who is not only skilled in machine learning but also has a strong understanding of cloud technologies and MLOps. A passion for staying current with emerging trends in AI and generative AI will be beneficial. You should be comfortable working in a dynamic environment where innovation is encouraged.
Key responsibilities include: • Building and optimizing machine learning pipelines • Implementing automated testing and monitoring solutions • Collaborating with cross-functional teams to enhance model performance • Staying updated with the latest advancements in machine learning and AI technologies.
If you are looking to make an impact in a tech-driven environment and have a strong foundation in machine learning, this role could be a great fit for you.
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