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Principal Duties and Responsibilities:? Design and implement infrastructure for machine learning roadmaps regarding our Cloud based systems? Design the data pipelines to support enterprise machine learning system? Develop and implement internal systems, processes, and best practices to be used by other teams designed to increase productivity? Support data scientists with developing CI/CD feature, automation, etc.? Support data scientist with development of CICD feature, automation, versioning, and data security? Design and maintain the customer facing and corporate global data center technologies with a focus on our Cloud based systems.? Design, implement, and maintain server, storage, network, and security infrastructure for machine learning? Ensure all infrastructure components meet proper performance and capacity standards? Verify and resolve configuration and other non-software related issues? Mentor junior professional(s) in the team? Additional duties as assigned
Qualifications & Skills: ? Experience building end-to-end systems as a Platform Engineer in Google Cloud, ML DevOps Engineer, or Data Engineer? Experience in MLOps services in GCP such as AutoML, VertexAI and AI platform.? Experience in container services, Kubernetes(GKE) and Docker? Expertise in GCP DevOps tools for CI/CD such as Google Cloud Code, Google Cloud Build, Google Artifact Registry etc. ? Experience in data-oriented workflow orchestration frameworks (KubeFlow, Airflow, etc.)? Experience in python coding on Jupyter notebook.? Experience of coding of AI model with machine learning technology and deep learning technology is a plus ? Familiarity with machine learning and deep learning technology. Understand of concepts and terms of those technologies such as Feature, Hyper parameter,EDA(Exploratory Data Analysis) and etc.? Familiarity with security best practices and use of firewalls, IPS/IDS, encryption, and incident response
? Design, implement, and support system monitoring infrastructure? Must be detail oriented, organized, and have the ability to multi-task? Excellent communication (written and verbal) and interpersonal skills with the ability to communicate across organizations, across organizational levels, with off shore resources and within the team ? Ability to demonstrate supportive relationships with peers, clients, partners, and corporate executives? A drive for results and customer focus? Exceptional problem solving skills? Must be flexible with a “can do” attitude and have the ability to remain professional under high pressure situations.? Understanding Japanese and/or Chinese is a plusEducation and Experience:?Bachelor’s degree in computer information sciences or related field?Minimum 1 to 3 years of infrastructure experience in Enterprise Infrastructure for MLOps design and implementation.