MLOps Engineer (Senior)

MLOps Engineer (Senior)

Seoul

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

Requirements

Must

  • 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

 

Preferred

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

Application

For application, please submit documents below by clicking "Apply Here" button below or sending us an email to recruiting@stradvision.com.

Required

1. CV

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

Optional

    Cover Letter/Project details/ Other theses.