MLOps Engineer

MLOps Engineer


Role & Responsibilities

  • Design and build cloud hosted, automated pipelines that run, monitor, and retrain ML Models for SV products
  • Support life cycle management of deployed ML-ops applications life cycle management (e.g. new releases, change management, monitoring and troubleshooting)
  • Collaborate with team and data pipeline application developers
  • Researching state-of-the-art MLOps technique and gaining expertise on emerging tools and technologies



  • Bachelor's degree or equivalent practical experience
  • 2 years of professional software development experience
  • Good understanding of ML and AI concepts and hands-on experience in ML model development
  • Experience in machine learning frameworks such as Tensorflow, and Caffe



  • Experience building and optimizing ‘Big Data’ data pipelines, architectures, and data sets
  • Experience in the operation/Integration of MLOps using AWS
  • Familiarity with UI frameworks and UX design and implementation
  • Experience in apply or build SW DevOps


For application, please submit documents below by clicking "Apply Here" button below or sending us an email to


1. CV



    Cover Letter/Project details/ Other theses.