日系IT企業にてMLOps Architectを募集しております。 ＊フルリモート勤務
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? 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.
? 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
? 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.