Meteorological and River Disaster Prevention AI Engineer

Job Description

Appealing Points:

• Meaningful Impact in Disaster Prevention: Contribute to cutting-edge projects in weather and river-related disaster prevention, using data science and predictive technologies to help safeguard communities.
• Interdisciplinary Innovation and Collaboration: Work at the intersection of academia, industry, and research institutions, fostering partnerships that drive innovation in engineering consulting.
• Advanced Tech Stack in a High-Performance Company: Engage with Python, AWS, and scientific machine learning in a company boasting over 20% return on equity—indicating strong financial performance and innovation-driven growth

Annaul Salary: 5 Million and Above

Job Description:

• A group of engineers whose strengths are research and consulting with in-house engineering functions/Bridging universities, research institutes, and industry ∕ Excellent companies with a return on equity of more than 20%-

Job Qualification:

• Those who are interested in weather and rivers
• Experience in machine learning, simulation, etc.
• Graduated from a technical college or higher
• Development and operation of cloud systems applying data science (especially scientific machine learning) in the fields of disaster prevention related to weather and rivers, as well as numerical analysis  . Development mainly uses Python and AWS.
• Engineering consulting on predictive technology, and promotion of collaboration and collaboration with internal and external organizations related to water disaster prevention.
• In addition, we will create technical proposals, conduct marketing, conduct on-site hearings, and implement PoCs.

Language proficiency: Fluent Level Japanese (JLPT N1) and Business Level english.

Company Description:

We are developing our business in the following fields: construction and disaster prevention, information and communication, manufacturing, and decision-making and consensus building support. In the field of decision-making and consensus building support

We will study the structure of society, such as marketing analysis to find certain rules for human decision-making, risk analysis in decision-making, integrated services for quantitative measurement, aggregation, and analysis of human and object movements from camera images, and multi-agent simulations that realize experiments that are difficult in reality in artificial society.