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This posting is managed by: Talent Fit Japan株式会社
Company Name Company is not publicly visible
Job Type IT (Other) - Machine Learning/AI Engineer
Industry IT - Other
Location Asia Japan Tokyo

Job Description Job Overview

As a machine learning engineer for new products, you will be responsible for improving and launching the product.

When you join the company, you will be responsible for improving and operating the demand forecasting model in the AI inventory management that is currently in operation, as well as developing beta versions, expanding functions, brushing up, and fully launching new products after PoC, and growing the product from an engineer's perspective. You will mainly be engaged in the following tasks.

Machine learning algorithm selection and EDA for model tuning

Machine learning algorithm design and implementation

Pipeline development for generating data and features to be used in the model

Time series prediction and multi-class classification are the immediate targets for machine learning tasks.

In addition to multiple new projects promoted by Data Scientists, you may be working on a variety of tasks in the future, such as PoCs using LLM.

About the team

Currently, we provide electronic medical history services, but we are considering expanding into the supply chain field as a new business. This position will be a member of the development team for a new product in the supply chain field, an "automated ordering system using AI."

<What is the supply chain business?>

Compared to other industries such as convenience stores, inventory management, ordering, and distribution in pharmacies rely heavily on intuition and experience, leaving a lot of room for optimization through technology. Kakehashi aims to transform the industry, first with an automatic ordering service using AI, and then through intervention in secondary drug distribution.

AI inventory management product development to change the supply chain in the pharmacy industry

We aim to develop products in collaboration with multiple supply chain teams and introduce them to pharmacies. Since it is inventory x medicine + AI, a design that emphasizes information design and experience is required. We express the design by replacing the user's necessary actions with values and thoughts.

Our activities as a design organization will also be created in the future.

[Team composition]
12 full-time employees (1 EM, 5 DS, 6 MLE/SWE)
6 contract employees

[Age]
30s, 40s

[Future organizational structure]
We are further expanding the entire supply chain management organization

[Internal counterparts]
PdM, Backend Team, CS team

Basically, the members necessary for product development are in the team.
Company Info We are a health tech company that aims to improve the efficiency of pharmacy operations and patient experience. We are a growing company that provides electronic medical history SaaS and promotes DX (digital transformation) in the medical field.
Working Hours Specialized work-type discretionary labor system (estimated working hours per day: 10 hours 15 minutes) *Work will basically be remote (remote work available)
Job
Requirements
Skills and qualifications
Required skills

- 2+ years of Python experience
- Experience in designing, implementing and operating machine learning models based on business requirements
- Development experience in cloud environments (AWS, GCP, Azure)
- Experience building and tuning machine learning models

Welcome skills

- Experience in team leading and management
- Experience in working on systems and experimental environments using machine learning
- Experience in operating AWS services (Lambda, Fargate, Glue, S3, Step Function, Airflow, SQS, etc.)
- Knowledge and understanding of statistics, data science and machine learning
- Experience in data management (governance, modeling, data warehouse, metadata)
- Experience in developing and operating large-scale systems with more than 1,000 users
- Experience in publishing papers, speaking at external events, writing blog articles, etc.

Desired personality

- Someone who can empathize with our company's desire to "provide patients with a better medical experience (using technology)".
- Someone who can act autonomously, cooperate, and take the initiative to act for success for the team and stakeholders
- Someone who can promote projects by taking into account the current situation and not just what should be done.
・Someone who can actually get things done
・Someone who is curious about new technologies and actively takes on new challenges

Work location
Tokyo 23 wards, Minato ward
Toei Mita line station
English Level Minimum Communication Level (TOEIC 225-470)
Japanese Level Fluent(JLPT Level 1 or N1)
Salary JPY - Japanese Yen JPY 8500K - JPY 15000K   
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