MLOps Engineer【Publishing Industry】

Machine Learning (inc. Deep Learning) | Data Science, Data Engg | Web, Mobile App (Frontend / Backend) | Cloud | Lead, Management Role

Location	Chiyoda-ku, Tokyo
Company	A joint venture founded by a trading company and 3 major publishers, aiming to bring sustainability to Japan's book distribution by digital transformation, including effective use of RFID and AI-driven optimization in publication / distribution.
Job Description	[ Role ] In this Engineer position you will cooperate with AI engineers and data scientists to design, develop and operate machine learning models, to transform publishing industry to be AI-driven. In particular, you will be preparing pipeline for faster and stable deployment of ML model, developing application to efficiently process data, and building infrastructure. The work scope also includes developing ML infrastructure that enables efficient model development for AI R&D engineers and data scientists. [ About this department ] The department provides supply chain optimization service powered by digital transformation (DX), in order to achieve sustainable publishing / distribution. Although coordination will be tough as there are many stakeholders that are publishers, distributors, and book stores, this is a rewarding position to be able to throughly transform the supply chain from up- to downstream. If you are tired of desktop verification, or wish to take on a new role, please join us in the challenge of industrial transformation! [ Technology stack ] Programing language: Python Framework: Apache Airflow Infra: Terraform Container: Docker GCP: Cloud Composer, Cloud Run, Cloud Functions, Big Query
Requirement	Mandatory: - Experience developing web service / application - Experience developing system infrastructure in a projects related to AI or data utilization - Understanding of data and AI algorithm processing pipeline, and of computing cost - Design of AI model or data management with consideration to MLOps - Experience using cloud e.g. GCP, AWS, Azure - Experience of API design and development Preferred: - Experience developing ML service or data infrastructure - Fundamental knowledge about ML / statistics - Experience developing and maintaining commercial service utilizing ML - Knowledge and strong interest in latest trend of ML
English Level	Nice to have
Japanese Level	Business level required
Employment Type	Permanent

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