Kata.ai is an Indonesian Conversational Artificial Intelligence company with a focus on creating technology to enhance the understanding of human conversations, improving the way humans collaborate with machines. Kata.ai’s Natural Language Processing (NLP) technology powers MultiPurpose chatbots (virtual customer service / virtual friend) for major corporations in Indonesia across different kinds of industries such as Unilever (FMCG), Telkomsel (Telco), Bank BRI (Financial Services), and Alfamart (Retail).

The company’s proprietary Kata Bot Platform can be leveraged to create feature-rich chatbots on top of Kata.ai’s robust and scalable AI technology platform, ensuring company of any size can easily build their own chatbot on any messaging platform. With this platform, it is now possible for the business to focus on designing engaging interaction for their customers, while Kata.ai handles all the technology aspects of the chatbots.

Established in 2015, the company has become a trusted partner for major corporations such as Microsoft, Accenture, and Line. In 2020, the company received Series-B funding from TransPacific Technology Fund and MDI Venture.

• Create and maintain data pipeline architecture
• Assemble large datasets that meet business requirements
• Identify, design, and implement process improvements
• Automate what can be automated
• Work with stakeholders to assist data-related technical issues

• Advanced SQL knowledge and experience working with relational SQL (e.g. Postgres) and noSQL databases (e.g. MongoDB, Cassandra)
• Experience in big data processing tools (e.g. Hadoop, Spark, Kafka, etc)
• Experience in building data pipelines (e.g. Luigi, Airflow)
• Experience in performing root cause analysis to answer business questions and identify opportunities for improvements
• Strong analytical skills related to working with unstructured datasets
• Ability to manipulate, process, and extract from large disconnected datasets
• Knowledge of message queuing, stream processing, and scalable data store.

We value a flexible working hour for our employees.

The most important is we provide a learning experience in Conversational AI Industry.