Bilingual Data Engineer / System Engineer

Japanese level: JLPT N2 or N1 is mandatory

Preferred candidate profile

Act as the departments technical leader in pioneering new business domains through data analytics and AI, and lead the definition of business requirements and analytical technologies to address societal and business challenges.
Monitor competitor activities, industry trends, and emerging technologies to provide technical guidance and identify strategic directions for creating new value and business opportunities.
In addition, serve as a Hitachi Data Science Evangelist by promoting technical capabilities both internally and externally. Maintain visibility into ongoing projects and technology trends, define mid-to-long-term technology strategies, plan talent acquisition and optimal resource allocation, establish capability development programs, and provide overall technical leadership and management across the department.

Lead the definition of business requirements and analytics technologies to address social and business challenges
Drive the creation of new business opportunities through Data Science, AI, and advanced analytics
Provide technical leadership by evaluating industry trends, competitive technologies, and emerging AI innovations
Support project teams with technical guidance, architecture reviews, and solution strategy
Act as a Data Science Evangelist by promoting technologies and capabilities internally and externally
Define mid- and long-term technology roadmaps and capability development strategies
Monitor project portfolios and technology trends to identify areas for technical investment and growth
Support talent development, resource acquisition, and optimal allocation of technical expertise across projects
Lead technical governance and contribute to organization-wide innovation initiatives

Role & responsibilities

AI / ML Frameworks
TensorFlow (Preferred), PyTorch , JAX
Computer Vision / Image Processing Libraries / Data Processing
OpenCV, Pillow, Pandas, numpy, MySQL or equivalent libraries
Hands-on experience implementing solutions using Large Language Models (LLMs) and/or AI Agents
Experience with Pydantic AI (Preferred), LangChain, LlamaIndex, Dify, AutoGPT, or equivalent LLM/Agent frameworks and APIs
Ability to evaluate technical options and select appropriate algorithms, models, and architectures
Semiconductor domain knowledge is not mandatory
Experience authoring technical papers and/or filing patent applications