As a Machine Learning Engineer at Nagarro, you'll work on developing and maintaining machine learning applications. Your expertise in MLOps and cloud technologies will be crucial for building efficient ML pipelines.
Nagarro is looking for a Machine Learning Engineer to join their team in Johannesburg. In this role, you will focus on developing and maintaining machine learning applications, specifically using Databricks and MLOps principles. Your work will involve creating reusable ML pipelines that adhere to CI/CD practices, ensuring that the applications are efficient and scalable.
On a day-to-day basis, you will collaborate with other engineers and data scientists to design and implement machine learning solutions. You will also be responsible for deploying these solutions on cloud platforms like Azure and managing containerized applications using Kubernetes. This role is ideal for someone who enjoys working with cutting-edge technology and is passionate about AI and machine learning.
Key responsibilities include: • Developing ML applications on Databricks • Maintaining and optimizing ML pipelines • Implementing MLOps practices for continuous integration and deployment • Collaborating with cross-functional teams to deliver high-quality solutions
To succeed in this role, you should have a strong background in machine learning engineering, experience with Databricks, and familiarity with cloud services like Azure. Knowledge of Kubernetes is also essential. If you are looking to make an impact in a dynamic and innovative environment, this position could be a great fit for you.
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