[Business description]
・ Analysis infrastructure design, construction
・ Machine learning pipeline design, construction
・ Data analysis required for algorithm design
・ Implementation support for various algorithms designed by the person in charge of algorithms

[Job description]
・ Infrastructure design and construction of business process data
-Manufacturing cost estimation data
-Transaction record data
-Manufacturing control process data
-Analysis of usage data of various products
・ Analysis of basic data to obtain business hypothesis and business improvement hypothesis
・ Realization of data processing pipeline in cooperation with each algorithm charge

【Development environment】
・ Language used
-Front end: HTML, CSS, TypeScript
-Backend: TypeScript, Rust, Kotlin
-Data Science: Python, R
· Framework library
-Frontend: React, Apollo, Next.js, styled-components, WebGL, WebAssembly
-Backend: Rust (Tokio, tonic, Diesel), Kotlin (Micronaut, Exposed), Node.js (Express, NestJS)
-Data Science: TensorFlow, PyTorch, scikit-learn
・ Infrastructure: GCP, GKE
-Database: PostgreSQL, Firestore
-API: GraphQL, REST, gRPC
・ Authentication: Auth0
-Development tools: GitHub, CircleCI, Figma, Sentry, DataDog, Storybook, Jupyter Notebook, Google Colab
・ Communication tools: Slack, Discord, JIRA

[Development organization]
・ Each development team
-Manufacturing costing product
-Manufacturing process / supply chain management products
-Drawing management product
-Manufacturing partner cooperation products
-In addition, we are planning new products ・ Management of each development team
-Centered on a team of 4-5 people
-Belong to a team or engage with multiple teams as a crossing role
-Support Scrum-based development cycle by tech leads and engineering managers
-Ticket management by JIRA

We are already doing a lot of manufacturing projects, but we are a company that is developing technology at the same time while conducting a lot of hypothesis testing for manufacturing projects. We believe that how accurately we can test hypotheses about issues in the manufacturing industry and how much technology can solve them will lead to structural changes in the manufacturing industry.

[Business description]
・ General management of multiple engineering teams
--Organizational improvement, system design and improvement of team management and engineering organization

[Job description]
・ Engineering management in each of the following development teams
--Manufacturing costing product
--Manufacturing process / supply chain management products
--Drawing management product
--Manufacturing partner collaboration products
―In addition, we are planning new products
・ Scrum coaching in each development team
・ Recruitment, training, resource management in engineering organizations,
It is possible to be in charge of system design such as evaluation system and its improvement / development as a playing manager, and in some cases, to serve as an engineer role.

In the organization of freee, that is expanding its business, we design, develop, and operate the foundation for making data-driven decisions. In cooperation with data analysts, marketing, and application engineers, this role is to improve and improve the data infrastructure that supports freee's business and solve problems. We will also evolve freee's products through machine learning and lay the foundation for making them easier for users to use and of intrinsic value. It is an important task to create value in society while protecting important data for both users and freee.

[Details of business content]
・ ETL design / construction for processing daily accumulated data and storing it in an easy-to-use format
・ Design and build a DWH that all employees can access securely
・ Design and construction of data mart / data catalog infrastructure used in analysis / machine learning

As for this position, you will be working in Tokyo and belong to the product development team of the D2C Solutions division.
You will be responsible for aggregating, analyzing, and developing systems for influencer data used in marketing.

[Business description]
・ Analysis of influencer data using mathematical statistics and machine learning
・ Natural language processing for articles and comment data on social media
・ Analysis of demographic data such as followers
・ Development of measures for numerical prediction and improvement such as Click, Like, Conversion
・ Data preprocessing and analysis model construction using Python, R, SQL, Node.js, etc.
・ System development using cloud infrastructure such as AWS, GCP, etc.

[Tools used]
Languages: Python 3.7, TypeScript, Node.js
Database: PostgreSQL
Serverless architecture: Google Cloud Function, AWS Lambda
Version control: Git, Gitflow
Repository: BitBucket
Infrastructure: Google Cloud Platform (GKE, CloudSQL, GCE, GCS, Firebase), AWS (Lambda)
Server monitoring: Grafana, Stackdriver
CI / CD: Bitbucket Pipeline, CircleCI
Communication tool: Slack
Project Management: JIRA with Agile Board
Document management: Confluence

You will be in charge of back-end development of tools used by medical institutions in the field, and reports/applications used by examinees. So far, we have been developing an analysis platform that scales our own brain image processing engine on a large scale on the cloud, but this is the phase to prepare and launch for products. In the future, we plan to commercialize more advanced analysis technology with an appropriate backend.

・ Based on the content of the plan, we will consistently carry out from the specification exam of the server architecture, development to release.
(If you wish, you can participate from the planning process)
・ Task coordination with in-house and outsourced engineers
・ Support for automation of management and development, troubleshooting, etc.

[Development environment, software, tools]
-AWS in general
-GCP in general
-Kubernetes
-Go / gRPC
-Scala
-Hadoop / Spark
-Docker
-CircleCI
-Terraform
-Ansible
-GitHub
-Slack
-Clean architecture * Mac Book Pro (13 / 15inch), 27inch

This position works in Tokyo and belongs to the product development team of D2C's AnyFactory division.
You will be responsible for aggregating, analyzing, and developing systems for influencer data used in marketing.

[Business description]
Analysis of influencer data using mathematical statistics and machine learning
Natural language processing of social media articles and comment data
Demographic data analysis of followers 
Numerical forecasting of Click, Like, Conversion, etc. and planning of measures for improvement
Data preprocessing and analysis model construction using Python, R, SQL, Node.js, etc.
System development using cloud platforms such as AWS and GCP

[Tools used]
Languages: Python 3.7, TypeScript, Node.js
Database: PostgreSQL
Serverless architecture: Google Cloud Function, AWS Lambda
Version control: Git, Gitflow
Repository: BitBucket
Infrastructure: Google Cloud Platform (GKE, CloudSQL, GCE, GCS, Firebase), AWS (Lambda)
Server monitoring: Grafana, Stackdriver
CI / CD: Bitbucket Pipeline, CircleCI
Communication tool: Slack
Project Management: JIRA with Agile Board
Document management: Confluence

■ Job description
This time, we are looking for members to launch a development team that can drive the growth of the group in the future. Aim for a career as a new development engineer that incorporates the company's "protective" knowledge based on the "create" know-how you have cultivated so far!

■ Specific business content
Today, agile development styles are becoming mainstream regardless of the industry, and there are cases where our customers are also moving away from conventional waterfall type development and promoting their steps to advanced and quick development models
As a full-stack engineer, you will be involved in a wide range of industry / product development projects such as finance, distribution, and telecommunications, from Web service customers who have a fast development cycle.
Therefore, depending on the project, you will be in charge of a wide range of areas including front, back end, and infrastructure while incorporating new technologies such as PWA and serverless.

What We Are Looking For 
The product we’re building has been dubbed The Moon Operating System: it’s the digital space for Mitsui and Moon to collaborate on innovation and incubation projects. We’re an early stage team looking for someone who can own our back end services for this product, and jump in to other areas to lend a hand if needed. The perfect addition will strike a balance of working with designers to experiment and iterate, with shipping solid products to production across multiple platforms. Our medium-term future may include offering this as an enterprise product: any experience in this domain is a big bonus.

We are building for reality: We have 50,000 customers ready to use our product. We need to work quickly, diligently, and scale well. We are creatively driven: We want to bring excellent experiences and design collaboration together with strong engineering.

You will be supported by our technical lead and design team, composed of former Google, Apple, and Brightloom designers and engineers. We’ll be growing this team, and we’d love for you to be a part of this process by shaping our culture, interviewing others, and mentoring new team mates. In return, we commit to mentoring and helping you develop the skills and experiences you seek.

What You’ll Do at Moon 
Use your software development skills and experience to help implement new digital products.

* Deploy reliable, tested, server-side software to testing and production environments in the cloud.
* Design and implement data models and storage systems, and evolve them over time.
* Deploy easily consumable APIs that support flexible client side implementation and experimentation across different platforms (mobile + web).
* Implement full-stack instrumentation and metrics, so that we can make data driven product decisions.
* Critically assess needs, propose designs and approaches, and select the right tools for your job.
* Mentor and drive best practices across our stack.

What We Are Looking For 
We are looking for an exceptional Full Stack Engineer who wants to be part of bringing human-centered innovation into the world. You will have the opportunity to discover and serve unmet user needs by applying your expertise in software development and rapid prototyping to address real-world problems. 

As a Full Stack Engineer, you will help shape our new ventures and drive our innovative work from concept to MVP. You will work with our Venture Designers (Product Managers), across cultures and across portfolios to turn wireframes or similar to tangible digital prototypes or MVPs. 

The problems you will be asked to solve vary by portfolio projects and require discipline across technology stacks and programming languages. 

What You’ll Do at Moon 
Use your software development skills and experience to help implement new digital prototypes and MVPs.
Partner with our Venture Designers and entrepreneurs-in-residence to shape the product vision
Rapidly iterate and develop prototypes to support a project's value proposition
Full-stack development with the right architecture for the project (know when to be scrappy and not to over-engineer)
Collaboratively work with visual and interaction designers

PTS là công ty có nhiều kinh nghiệm trong việc đào tạo nhân lực IT, cũng như hỗ trợ các dự án tiên tiến trong và ngoài nước. Công ty có nhiều khách hàng từ Mỹ, Việt Nam, Trung Quốc v.v.

-------------
【Đặc điểm công ty】
- Môi trường làm việc "mở", tạo điều kiện tối đa để nhân viên học hỏi và trau dồi kiến thức, kinh nghiệm
- Chào đón người nước ngoài, đặc biệt là người Việt Nam để hỗ trợ các khách hàng tại Việt Nam

【Nội dung công việc】
Phụ trách phát triển và bảo trì:
- Các hệ thống và phần mềm khác nhau
- Các giải pháp kinh doanh sử dụng phương thức nhận diện khuôn mặt
- Công nghệ phân tích AI

【概要】
製造/通信/メディカル業界等、様々な業界のシステムの設計・開発をお任せします。

【業務詳細】
医療系メーカー向け業務アプリケーション開発・通信キャリア向け新規サービス仕様検討
GIS ウェブサービス設計~開発~評価・医療用業務システムの開発~評価業務
プリンタメーカー向け新製品の仕様検討~開発~検証
など、幅広い業界でお客様へ技術支援を提供します。
限られた工程だけを担当するのではなく、企画・設計から開発、リリースまで全てに関わっていくことができます。

Bạn sẽ tham gia vào các dự án phát triển hệ thống mở như sau:

① Ứng dụng công ty Bảo hiểm
- Java, SQL
- Research, production, testing
- Các task bao gồm design, phát triển, quản lý phát triển offshore trong maintenance phase, các dự án mới và dự án hiện tại.

② Ứng dụng công nghiệp
- Java, C#, SQL
- Design, production, testing
- Các task bao gồm phát triển hệ thống nhằm quản lý tàu điện/ tàu điện ngầm.