MLOps Engineer (Senior)

MLOps Engineer (Senior)


Role & Responsibilities

  • Design, prototype, and refine scalable infrastructure For operating StradVision’s machine learning pipeline at scale
  • Enable engineers at StradVision to succeed in the end-to-end software development process
  • Automating infrastructure maintenance and management For tracking our fleet of customer deployments
  • Work directly with ML engineers and customers to Enable successful deployments of StradVision’s software product



  • B.Sc. in Computer Science / Engineering or related fields
  • At least three year of professional engineering experience or work program equivalents in a relevant field (DevOps, MLOps)
  • Demonstrated self-motivation and willingness to dive into complicated DevOps/MLOps challenges
  • Exposure to machine learning fundamentals such as training data and models
  • Experience with Kubernetes or other container orchestration tools in a production setting
  • Ability to work in a fast-paced environment and strong technical communication skills



  • Experience with docker containers
  • Experience with Data Engineering, SQL, and NoSQL databases, Big Data Pipelines
  • Experience with CICD pipelines
  • Experience with TensorFlow/ PyTorch


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


1. CV

    2. Thesis (for those who have Master's degree or above.)


    Cover Letter/Project details/ Other theses.