Machine Learning Engineer

### Job Description - Service development in collaboration with English-speaking engineers at overseas subsidiaries - Design, implement, and verify machine learning models - Promote CI/CD pipelines, training, model monitoring, and version control based on MLOps best practices - Optimize the performance and scalability of machine learning models - Fine-tune LLM and design and implement training - Maintain a grasp of the latest trends in machine learning, MLOps, and LLM, and research and propose new technologies and methodologies ### Attractive Points - Work closely with the business side to resolve issues, develop specifications, release, and improve. - Issues may be based on requests from the business side, or they can be proposed by engineers themselves. - Involvement from the initial planning stage allows for significant contributions to the growth of the service. - Potential for global career opportunities at the development center in New York. ### Development Environment - Programming Language: Python, C# (ASP.NET Core) - Database: Microsoft SQL Server - Machine Learning: Azure OpenAI ### Requirements - Business-level English proficiency (speaking, reading, and writing) - Experience developing and operating machine learning models using NLP or practical data science experience (1+ years) - Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, or equivalent ### Preferred Qualifications - Development experience in a public cloud environment - Experience growing a service through continuous development and operation while collaborating with non-engineers ### Working Conditions - Working Hours: Discretionary Work System (Average 160 hours/month) - Trial period: 3 months - Holidays: 127 days annually, including weekends and public holidays