• Fully remote, ZZZ (Fully Remote)
• IT -- System Integration
• Up to $145
• Contract employee
•  9:00-18:00

Job Description

? Design and implement infrastructure for machine learning roadmaps regarding 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, 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.
? Additional duties as assigned.

Requirements

? 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.
? Design, implement, and support system monitoring infrastructure.
? Understanding Japanese is a plus

Skills

? Experience building end-to-end systems as a Platform Engineer in Cloud based system or ML DevOps Engineer in Cloud.
? Experience in container services, Kubernetes(GKE) and Docker
? Expertise in DevOps tools for CI/CD such as Google Cloud Build(GCP), Code Pipeline(AWS) or Azure Pipelines(Azure).
? Experience in data-oriented workflow orchestration frameworks (KubeFlow, Airflow, etc.)
? Experience in setting up IDE for AI such as Jupyter notebook/Lab.
? Experience in MLOps related framework provided by Cloud platformer such as Vertex AI, BigQuery, SageMaker and AML(Azure Machine Learning).
? 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.

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