Machine Learning Engineer
アスタミューゼ株式会社
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Tokyo
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11 to 100
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Company Homepage
Company Info
Astamuse is a company that utilizes the world's largest level of amorphous asset visualization data base, and organizes and analyzes social issues from the construction of database infrastructure and future prediction. We are engaged in a wide range of data base design, operation, and large-scale data analysis, and contribute to the business of wide-ranging data base infrastructure.Job Summary
We develop and apply machine learning and deep learning to create services and data infrastructure, and develop and operate services and systems in collaboration with other departments. We use Python, Scala, and develop in environments such as Linux, Google Cloud Platform, and Docker, and actively utilize natural language processing, image recognition technology, and optimization algorithm knowledge and experience for AI and machine learning technology support business.Duties
We develop and apply machine learning and deep learning to create services and data infrastructure, and develop and operate services and systems in collaboration with other departments. In specific tasks, we provide appropriate technical support for customer internal and external data collection and statistical analysis, and utilize machine learning for the development of various functions, and select effective analysis methods for business data and BI issues. Development methods include using Python and Scala, and developing in environments such as Linux and Google Cloud Platform. We also apply various machine learning libraries and frameworks such as BigQuery, PostgreSQL, MongoDB, HBase, Metabase, Hadoop, Spark, scikit-learn, PyTorch, TensorFlow, transformers, numpy, pandas, and RAPIDS. The working location is at the company, and telecommuting and health insurance, long-term care insurance, and retirement pension are provided.
Requirements
Knowledge and experience related to natural language processing, image recognition technology, and optimization algorithm, and research and development, and product development (mainly Python), mathematics, statistics, deep learning, machine learning, and experience related to AI and machine learning
Welcomed Skills
Those with high expertise in scientific fields, those who have research and development experience in machine learning, natural language processing, computer vision, mathematics, physics, and other scientific fields, or those who have experience in presenting at international conferences, and those who understand business/data analysis and can propose solutions for internal and external issues