EXAWIZARDS

MLOps Engineer

https://exawizards.com/en/ Overview The Platform Engineering Division at ExaWizards, is an engineering division that is currently responsible for all product/project infrastructure and tools. We are also responsible for all cloud resources and all platform infrastructure development and operations. We are currently seeking out MLOps Engineers that can think and act according to their own will, work in a team with a professional mind and a passion and commit themselves to producing results. ExaWizards provides an environment where you can actively take on challenges with outstanding colleagues to improve society. Use your creativity and driving force to create a better world with us! What We're Looking For

Job Responsibilities  Research and implement various ML tools and frameworks  Development and operation of all ML infrastructure  Shorten development cycles for our ML based products and projects:

o Build and automate our ML workstreams from data analysis, experimentation, operationalization, model training, model tuning to visualization

o Create, improve and maintain our automated CI/CD pipelines for ML o Increase our deployment velocity, including the process for deploying models and data pipelines into

production  Create, build and maintain data pipelines for analytics, model evaluation and training (includes versioning,

compliance and validation).  Conduct internal training and presentations about MLOps, tools benefits and usage

Required Skills  Development experience with Python or another high level programming language  Experience with CI/CD tooling  Experience with at least one ML framework (PyTorch, Tensorflow, Keras, etc.)  Experience with at least one container technology stack (Kuberentes, Docker, etc.)  Good understanding of ML concepts  Strong interpersonal skills; able to work independently as well as in a team  Experience or knowledge of at least one cloud platform (AWS, Azure, GCP, etc)

Preferred Skills  Experience with data validation and versioning  Experience working with data scientists and/or ML engineers and building auto-scaling ML systems  Experience in operationalization of ML projects using at least one of the popular frameworks or platforms

(e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, DKube, etc.).

EXAWIZARDS  Strong knowledge of ML models (linear regression, ensemble methods, boosting, RNN, CNN, GCN, GAN,

etc.)  Good communication and presentation skills (English or Japanese) What Can YOU Experience at ExaWizards!  Solve social issues with some of the biggest companies and goverment organisations  Work on cutting edge A.I with some of the smartest people in the industry  Develop yourself in the A.I field as a MLOps engineer What you can learn:

■Various SW products development: AI x each industry（such as Care/Health care, HR, Mediacal, Finance, Robotics etc

■Environment to get Machine Learning and Deep Learning technology for non/less experienced people

Employment: Fulltime/Permanent Salary: depending on experience and skills

Salary structre： annual compensations （＋Stock）

Working hours： flex hours

【Location】Tokyo office

〒105-0013 5F, Sumitomo Hamamatsucho Bldg, Hamamatsu-cho 1-18-16, Minato-ku, Tokyo

＜Station＞

JR 【Hamamatsu-cho】

Subway Asakusa･Oedo line【Daimon】

Subway Sanda line 【Goseimon】

【Benefits】

-Health Insurance -Social Insurance -Transportation Coverage (Max 35000yen/month) -Support for book purchases -Medical check-up -Online medical consultation -Doctoral course study support: Employees can receive support to carry out research in areas related to our company’s mission (i.e “creating a happy society by solving social issues with AI”) and spend one day every week going to university to work as a doctoral student. We will sponsor all fees up until the employee graduates (to a maximum of 2 million yen). -Study meeting (more than 1 time/week, during work hours)

【Holidays】

-5day work week -National holidays -Paid-time off, New Year’s vacation, Congratulatory leave, Compassionate leave, Parental leave -Refreshment leave (5days in a year) -Return vacation (2days in a year) -Nursing care leave

▼事業内容

EXAWIZARDS ■AI イノベーション

様々な業界の産業・社会課題の発見・解決により

最先端イノベーションを創出し続ける https://exawizards.com/en/business/innovation

■Care Tech

「科学的根拠に基づくケア」の確立を通じて、ケアを受ける方の自立と共生を支援するとともに、テクノロジーの活用によって、ケアを

もっと身近な社会を目指します。

https://exawizards.com/en/business/caretech

■HR Tech

人事業界における技術的特異点”ジンジラリティ”を通じて、

生産年齢人口が半減する未来でも、子どもたちに今よりもっと豊かな社会を受け継いでいきます。

https://exawizards.com/en/business/hrtech

■Robot Tech

ロボット制御に AI を活用する事で、現場における作業員の技術継承とプログラミング工数削減を実現し、単純作業や危険な仕

事からの解放と生産性の向上を目指します。

https://exawizards.com/en/business/robottech

■Med Tech

皆それぞれにとって価値のあるヘルスケアの実現を通じて、

自分らしく生きられる世界を目指します。

https://exawizards.com/en/business/medtech

■ Fin Tech

情報格差により取り残されてきた人達のための

金融サービスをつくります。

https://exawizards.com/en/business/fintech

■Security/Mobility

安全かつ強靭な都市の実現により、災害、渋滞、犯罪といった社会課題を解きます。

https://exawizards.com/en/business/security-mobility