Skills & Requirements

  • MLOps engineer need to have an understanding of machine learning and software development.

  • Experience with python & SQL & Linux

  • Experience implementing solutions on cloud provider (AWS, Azure, or GCP)

  • Experience with Docker and Kubernetes

  • Ability to build MLOps pipelines

  • Knowledge of frameworks such as Keras, PyTorch, Tensorflow

  • Experience with software development

  • Ability to understand tools used by the Data Scientists

  • Here are some non-technical skills required to become an MLOps engineer:

  • Strong communication skills – you need to be able to communicate with the Data Science team to understand the frameworks and types of models built.

  • Teamwork – As an MLOps engineer, your team would have people from many different backgrounds. Some of them might have more data science knowledge, while some might come from a software development background with little machine learning knowledge. You need to work with individuals with diverse skill sets and play on their strengths to develop a scalable application.

  • Business acumen – Ability to understand business issues.

If you think you fit the role above, do drop a copy of your CV/Resume, together with an introduction email telling us why you are interested in the role above, along with a notice period (if applicable) and expected salary to