AI & Data Science Consultant/Engineer (Japanese Speaking)

Company: Consulting Location: Central

About the role This is an AI & Data Science Consultant/Engineer role focused on Generative AI and Agentic AI solution development, data science and advanced analytics, consulting and client advisory, and pre-sales support. You will design and develop AI-powered applications, build end-to-end AI solutions, and collaborate with clients to translate business requirements into data-driven solutions.

Key responsibilities Design and develop AI-powered applications using Generative AI, Large Language Models (LLMs), and enterprise AI platforms Build and integrate end-to-end AI solutions, including frontend, backend, APIs, and enterprise systems Develop agentic AI solutions using platforms such as Microsoft Copilot Studio and AI agent frameworks Design secure and scalable cloud-based AI architectures Analyse structured and unstructured data to generate business insights and recommendations Develop machine learning, predictive, and statistical models to support data-driven decision-making Translate business requirements into AI and data-driven solutions Collaborate with clients to identify use cases, define solution approaches, and develop implementation roadmaps Develop demonstrations, prototypes, and proof-of-concepts (PoCs) to support client engagements Present analytical insights and technical recommendations to business stakeholders

Requirements: Bachelor's Degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, or a related field Minimum 3 years of relevant experience in Generative AI, Agentic AI, Machine Learning, Data Science, Advanced Analytics, or AI/ML application development Strong programming skills in Python, including experience with libraries such as NumPy, Pandas, Scikit-learn, and data visualisation tools Experience developing APIs and backend services using frameworks such as FastAPI or Flask Strong SQL skills, including experience with complex queries, data modelling, and analytical processing Hands-on experience with Generative AI technologies, Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases Experience developing AI-powered applications and agentic AI solutions using AI agent frameworks, automation platforms, or Microsoft Copilot Studio Solid understanding of machine learning algorithms, statistical modelling, and data science methodologies Business-level Japanese language proficiency (spoken and written) to support Japanese-speaking clients and stakeholders

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