Data Scientist

Team Segment : Cloud & Ai Solutions

KKCompany Technologies, Asias leading AI multimedia technology group is dedicated to creating values for customers with core businesses of multimedia technologies, digital cloud, and AI applications.

At KKCompany, we believe in Innovation Made Simple, and technology is the answer to the struggles faced by every industry. Since its establishment two decades ago, KKCompany has expanded its portfolio, including KKBOX, BlendVision and Going Cloud. KKBOX is the worlds first platform bringing legal music streaming service to the public. It utilizes state-of-the-art streaming technology to enable excellent user experience. Our flagship brands and a base of international clients enable us to accumulate extensive data and advance analytical capabilities. The strengths along with our abundant experience in brand management help businesses achieve digital transformation successfully. We serve over tens of millions of consumers and enterprise clients in Asia cross a broad spectrum of industries such as telecommunication, multimedia, online education, fitness, smart retail and more.

KKCompany now has nearly 500 employees across offices in Tokyo, Singapore, Taipei, Kaohsiung, and Hong Kong.

Overview:
We are now entering a new phase of our AI roadmap focused on orchestrating intelligent agents that can collaborate, plan, and execute tasks autonomously. This role is instrumental in building such systems, especially in domains such as enterprise knowledge retrieval, automated assistants, and generative content workflows.

Responsibilities:

• Building intelligent agent workflows using large language models.
• Work with domain experts and cross-functional teams (project managers, engineers, designers) to turn business goals into practical agent workflows.
• Explore and learn about the latest trends in LLMs, AI agents, and generative AI technologies.
• Collaborate closely with developers, and project owners to implement AI solutions and fulfill customers PoC requirements.

Requirements:

• Proficient in Python and familiar with data libraries such as Pandas, NumPy, and basic ML libraries (e.g., scikit-learn, spaCy).
• Experience designing or implementing agent-based systems or tool-augmented LLM workflows (e.g., function-calling, agentic planning, tool use).
• Eagerness to learn, adapt, and grow in a fast-moving AI environment.

Nice to Have:

• Exposure to cloud platforms such as AWS, especially data or AI services.
• Familiarity with agent systems, multi-agent tools, or frameworks is a plus.
• Familiarity with machine learning concepts and experience building and evaluating models.
• Active involvement in open source communities or contributions to public repositories.