AI Technical Expert

Job Description

Appealing Points:

• High-Impact AI Role at the Core of Financial Services Lead the design and production deployment of AI/ML models for fraud detection, credit scoring, and personalized marketing that directly drive business outcomes.
• Hands-On Experience with Generative AI and MLOps at Scale Apply cutting-edge technologies such as Generative AI, NLP, RAG, and automated MLOps pipelines in real-world, cloud-based production environments.
• Responsible AI Development in a Regulated Financial Environment Build ethical, compliant AI solutions aligned with Japanese financial regulations while collaborating across business, IT, and cybersecurity teams to deliver trusted AI systems.

Annual Salary: 10 Million and Above

Job Responsibilities:

• Design and implement AI/ML models for fraud detection, credit scoring, customer segmentation, operations & personalized marketing.
• Develop machine learning pipelines and deploy models into production environments using scalable frameworks
• Collaborate with cross-functional teams to identify AI opportunities and translate business needs into technical solutions across products & operations.
• Lead the end-to-end AI solution lifecycle – from data preparation and model training to deployment and monitoring in production environments.
• Evaluate emerging AI technologies such as Generative AI, NLP, and Predictive Analytics for financial use cases.
• Ensure ethical and compliant AI usage in alignment with internal policies, data privacy laws, and Japanese regulatory guidelines.
• Provide technical mentorship and knowledge sharing to enhance internal AI capability across teams.
• Collaborate with cybersecurity and IT infrastructure teams to maintain secure and responsible AI operations.

Job Qualifications:

Desired for the Position:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• Minimum 5+ years of hands-on experience in AI/ML model development and implementation, preferably within financial services or credit card industries.
• Hands-on experience in AI workflows and RAG integrations.
• Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and data manipulation libraries.
• Strong understanding of data engineering, feature engineering, and data pipeline automation.
• Experience with cloud-based AI platforms (AWS SageMaker, Azure ML, or GCP Vertex AI).
• Strong understanding of statistical modeling, supervised, unsupervised, and deep learning techniques.
• Proven experience in deploying AI models into production and monitoring model performance.
• Familiarity with Japanese financial regulations and data governance is a plus.
• Native Japanese level; English language skills are advantageous.

KNOWLEDGE & SKILLS

• Strong grasp of advanced ML/DL techniques, including NLP, computer vision, and reinforcement learning.
• Experience in Generative AI applications (e.g., LLMs for chatbots, document summarization, or code generation).
• Ability to design and implement MLOps pipelines for scalable and automated AI deployments.
• Knowledge of data governance, privacy regulations (APPI, GDPR), and ethical AI frameworks.
• Hands-on experience with GenAI platforms, development tools, Copilot and others.
• Hands-on experience with data visualization tools.
• Experience in credit card, banking, or fintech environments.
• Familiarity with regulatory and compliance requirements in the Japanese financial sector.
• Analytical thinker with strong problem-solving skills.
• Ability to translate complex AI concepts into business value.
• Strong communication and collaboration skills, especially in cross-functional and multicultural settings.
• Understanding of API integration for embedding AI services into enterprise systems.

Langauge skills: Native Japanese Level(JLPT N) and Business Level English

Company Description:

It is the leading provider of lending and transaction banking solutions to the global financial services industry. Its software powers the operations of more than 200 financial institutions in 50 countries, supporting retail banking, corporate banking, cash management, internet banking, automotive finance & other business areas.