AI & Data Science Consultant/Engineer (Japanese Speaking)

Location: Singapore

• 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.
• Keep abreast of emerging trends and technologies in Generative AI and Agentic AI.

• Analyse structured and unstructured data to generate business insights and recommendations.
• Develop machine learning, predictive, and statistical models to support data-driven decision-making.
• Apply advanced analytics techniques such as NLP, forecasting, classification, clustering, and anomaly detection.
• Design and execute experiments, including A/B testing, to evaluate business impact.
• Develop dashboards, visualisations, and ML pipelines to support analytics and model deployment.

• Translate business requirements into AI and data-driven solutions.
• Collaborate with clients to identify use cases, define solution approaches, and develop implementation roadmaps.
• Conduct workshops and stakeholder discussions on AI adoption, data strategy, and solution design.
• Present analytical insights and technical recommendations to business stakeholders.

• Develop demonstrations, prototypes, and proof-of-concepts (PoCs) to support client engagements.
• Assist in solution presentations, proposals, and business development activities.
• Showcase AI and data science capabilities to prospective clients and stakeholders.

• 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.
• Familiarity with modern web technologies such as JavaScript, TypeScript, or React.
• 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.
• Experience with model evaluation, hyperparameter tuning, experimentation, and A/B testing.
• Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
• Experience creating dashboards and visualisations using tools such as Power BI, Tableau, Plotly, or similar platforms.
• Hands-on experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud, including AI/ML services.
• Strong analytical, problem-solving, and communication skills with the ability to translate business requirements into technical solutions.
• Ability to effectively communicate with both technical and non-technical stakeholders.
• Strong learning agility and a passion for emerging AI technologies.
• Experience within financial services, trading companies, supply chain, or related industries.
• Business-level Japanese language proficiency (spoken and written) to support Japanese-speaking clients and stakeholders.
• Experience with LangChain, Semantic Kernel, multi-agent orchestration frameworks, or enterprise AI platforms will be advantageous.
• Knowledge of MLOps, CI/CD pipelines, containerisation technologies, and DevOps practices.
• Prior consulting or client-facing experience is preferred.