Machine Learning Engineer

• Work closely with the business side throughout the entire process, from problem-solving discussions and specification design to release and continuous improvement
• Engineers are encouraged to propose their own ideas in addition to solving challenges based on business-side requests
• Opportunity to be involved from the planning stage of initiatives, making a significant contribution to service growth
• Depending on your preferences, there may also be opportunities to work at the New York development hub and build a global career, * Collaborating with English-speaking engineers at overseas subsidiaries on service development
• Designing, implementing, and validating machine learning models
• Promoting CI/CD pipelines, training, model monitoring, and version control based on MLOps best practices
• Optimizing machine learning model performance and scalability
• Fine-tuning large language models (LLMs) and designing/implementing training
• Staying current with the latest trends in machine learning, MLOps, and LLMs; researching and proposing new technologies and methodologies

• Business-level English proficiency (speaking, reading, writing)
• 1+ years of experience developing and operating machine learning models utilizing NLP, or practical experience in data science
• Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, or equivalent knowledge/experience
• Experience developing in public cloud environments(Preferred)
• Experience growing services through continuous development and operations while collaborating with cross-functional team members(Preferred)
• Business-level Japanese proficiency (Preferred)

Technical Environment:

• Programming languages: Python, C# (ASP.NET Core)
• Database: Microsoft SQL Server
• Machine Learning: Azure OpenAI