Game Platform - ML/DL Engineer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

It serves to help the business activities of LINE Game Service users by converting various data within the LINE Service into practical business values.

Based on the activity data of users in various services, we use machine learning and deep learning techniques to classify and predict the behavior patterns of service users to create business value.

Based on LINE Game Service users' pattern analysis and future behavior prediction, platform services to care for users' overall life cycle, such as providing appropriate preferred events and product recommendation services, are built based on BigData & ML/AI.

Responsibilities

• Machine Learning/Deep Learning model development and service application using Python/R
• After designing and implementing analysis logic based on statistics and data mining theory, develop Dashboard to monitor it
• Recommendation algorithm design and research and development to implement personalized services such as product, content, and friend recommendation

Qualifications

• Those with more than 6 years of experience in Data Science (ML/DL Engineer)
• Those who have an understanding of statistics and machine learning/deep learning and have experience in designing, developing, and building models to achieve their goals
• Those who have the ability to in-depth observation and understanding of phenomena based on data, and the ability to think and analyze actively connecting business and data
• Proficient in one or more development languages ??capable of analyzing and modeling data (Python, R, SQL, etc.)
• Those who have no grounds for disqualification for overseas business trips and work

preferential treatment

• Those with a master's or doctoral degree or equivalent experience in a related field such as machine learning, data mining, statistics, etc.
• Those with experience in data analysis and ML model development in games or entertainment (Music/Animation, etc.)
• Those with experience in operating services in MLOps environments based on Airflow, Kubernetes, and Docker
• Those with experience in data analysis using Tableau, etc. and presentation through visualization
• Those who have experience in using big data analysis platforms (Hadoop, Spark, Hive, etc.) and have an understanding of distributed processing of large data
• Those who have a tendency to share and discuss the results obtained through flexible communication with team members or related departments
• Those who can work in a foreign language (at least one in English or Japanese)