【急成長中Fintech企業】機械学習エンジニア

勤務形態
正社員
給与
6,000,000 JPY - 13,000,000 JPY per year
日本語レベル
なし
英語レベル
ビジネスレベル(TOEIC 860)
開始日
ASAP
勤務地
東京

職務内容

A leading FinTech is looking for Machine Learning Engineers who can build a platform with a machine learning approach based on the large amount of data generated by transactions and other services to improve the convenience of payments and delivering the best content to users.

 

【Responsibilities】

- Design, develop, deploy, operate and improve important Machine Learning solutions

- Accelerate the pace of innovation and experimentation, by building ML infrastructure. Build and continuously improve cutting-edge models. Explore new performance boost opportunities

- Encourage creative approaches to problems and help define our team's objectives. Continuously improve the self-organization of the team and foster technical excellence

- Collaborate with Product Managers, Engineers and Analysts to create positive customer impact

 

【会社概要 | Company Details】

Growing fintech company provides QR code and bar code based payment system. The company offers a flexible work schedule and you get your choice of tools (both hardware and software) and most importantly, the opportunity to work on tough problems with the brightest minds around you. Speaking English OR Japanese, but corporate language is the language you can program in.
QRコードとバーコードベースの支払いシステムを提供している成長中のFintech企業です。フレックス制度やツールの選択(ハードウェアとソフトウェアの両方)ができるなど、柔軟なオフィス環境です。日本語と英語が飛び交う環境で、優秀な同僚と共にチャレンジングな仕事に取り組めます。

【就業時間 | Working Hours】
10:00 – 18:45 月―金  (スーパーフレックス) Super Flextime available

※時間外労働あり※育児や介護を理由とした時短勤務制度あり

【休日休暇 | Holidays】
完全週休2日制(土日祝休み)、年末年始、年次有給休暇、産前産後休暇、子の看護休暇、介護休暇、介護休業、育児休業、その他特別休暇など
Saturday, Sunday, and National Holidays, Year-end and New Year Holidays, Paid Holidays, Other Special Holidays

【待遇・福利厚生 | Services / Benefits】
各種社会保険完備(厚生年金保険、健康保険、労災保険、雇用保険)、屋内原則禁煙(屋外に喫煙所あり)、通勤交通費支給等、確定拠出年金制度、各種研修制度
Social insurance, Transportation Fee, Defined contribution pension system, training programs, no smoking indoors allowed (Designated smoking area), etc.

 

必須スキル

- Expertise in computer science and mathematics.

- Experience in machine learning and deep learning on the job.

- Skills to extract data, build models, measure/evaluate the result and develop a feedback system.

- Knowledge and experience with distributed processing systems such as Spark.

- Knowledge and development experience with frameworks such as Tensorflow.

- Ability to explain and present analyses and machine learning concepts to a broad technical audience

- Ability to initiate and drive projects to completion with minimal guidance

優遇されるスキル・経験

- Knowledge and development experience in ETL and data pipelines.

- Knowledge and experience in natural language processing.

- Experience in software development in one or more general-purpose programming. languages preferably Java, Scala and Python.

- Experience with implementing platform components such as RESTful APIs, Pub/Sub Systems, Database Clients.

- Experience with AWS services.

- Contributing to open source projects.

- Knowledge of the Japanese payment services industry.