MLOPS Engineer 

■ Your Role and Responsibilities 

• Research and implement various ML tools and frameworks
  Development and operation of all ML infrastructure
  Shorten development cycles for our ML based products and projects:
• Build and automate our ML workstreams from data analysis, experimentation, operationalization, model training, model tuning to visualization.
• Create, improve and maintain our automated CI/CD pipelines for ML

■ Work Location

• Tokyo, Japan 

■ Experience and Qualifications 

• Development experience with Python or another high level programming language
• Experience with CI/CD tooling
• Experience with at least one ML framework (PyTorch, Tensorflow, Keras, etc.)
• Experience with at least one container technology stack (Kuberentes, Docker, etc.)
• Good understanding of ML concepts
• Strong interpersonal skills; able to work independently as well as in a team
• Experience or knowledge of at least one cloud platform (AWS, Azure, GCP, etc).

■ Additional Preferred Qualifications

• Experience with data validation and versioning
• Experience working with data scientists and/or ML engineers and building auto-scaling ML systems
• Experience in operationalization of ML projects using at least one of the popular frameworks or platforms
  (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, DKube, etc.).