- About the company
- With the mission of solving complex socio-industrial challenges, the company provides solutions to complex socio-industrial problems using Artificial Intelligence (AI)/ Machine Learning(ML), IoT/sensor network, and model-based simulation techniques.
The company has a proven track record in biomedical industry, they have established their expertise in solving issues involving highly complex systems and technical basis spanning from artificial intelligence and machine learning to data analysis and model-based simulation.
They use their expertise to solve problems pertinent to industrial and societal issues including, but not limited to mobility, logistics, industry 4.0, and related issues that are critical to our society.
- Corporate Culture
- The company is very agile in its development: It forms projects with the appropriate members and keeps changing/evolving as it goes. The company consists of passionate individuals who are at the forefront of new technologies
- Global Aspects
- Deal with global projects
- Already foreign employee(s) working
- Many employees speak English
- Joint company/office overseas
- Communicate with foreign clients
- Official Language is English
- Actively pursuing diversity at the work place
- International sales
- Market research overseas
- PR Aspects
- The company was led by inventors who have made a number of patents in the field of robotics. The CEO has worked in the R&D divisions of one Japan's leading technology companies. He won various national awards including good design awards. He was also invited to various international conventions as well as well known global museums including MOMA in NY. He has been also actively involved in academia by being invited as a visiting professor at Carnegie Mellon University, University of Tokyo and various other universities.
The company has a development office in India. Official language in the company is English and there are many foreign national employees working. The company is aiming to have a stronger presence in exponentially growing county.
- The ideal candidate needs to be passionate with using data to develop Machine Learning (ML) for solving pressing problems in biomedicine, healthcare and socio-industrial domains and wants to work with a multicultural and diverse team of scientists and Engineers who have been at the forefront of innovation. You will work on projects ranging from biomedicine and autonomous self-driving to NLP and other applications for data science.
Programming languages that the company use:
・Python, Java, C, C++, C#
ML libraries：pandas, numpy, scikit-learn, matplotlib.
Deep Learning frameworks：Tensorflow, Keras, PyTorch, Theano, CNTK, Caffe 2.
For Databases：MySQL and MongoDB
For backend Frameworks：Spark
※Please note that the position is only for those who are currently residing in Japan only
-Bachelors Degree/ Masters Degree in a quantitative field (Computer Science, Machine Learning etc).
-1-2 years of hands on and applied experience in predictive modeling, data science and analysis.
-Strong understanding of statistical methods for data analysis.
-Strong in Python and has extensive experience in using ML libraries, such as pandas, numpy, scikit-learn, matplotlib.
-Able to write well-written and explainable production level code.
-Experience using Deep Learning frameworks such as Tensorflow, Keras, PyTorch, Theano, CNTK, Caffe 2.
-Experience working with GPUs to develop models.
-Familiarity with using data visualization tools and liraries.
-Familiarity with AWS technologies.
-Practitioner software engineering practices.
-Strong written and verbal communication skills.
-Team oriented, able to thrive in a multidisciplinary environment.
- Japanese Level
- Type of people (Personality)
- -People who loves challenges
-People who are passionate with using Data and providing Tech solutions
- Annual Expected salary (Minimum)
- Annual Expected salary (Maximum)
- Salary promotion
- Once a year based on the result of performance review and company's economic situation.
- Transporation cost coverage
- Covered based on Company's set policy
- Work hours
- End of Year and New Year Holiday
- National Holiday
- Worker’s Accident Compensation Insurance （労災保険）
- Health Insurance （健康保険）
- Unemployment Insurance (雇用保険）
- Welfare Pension Insurance （厚生年金保険）
- -Core time(10:00~15:00)