Knowledge Graph Engineer

Imagine managing finances with a simple conversation - paying bills and checking balances in an effortless way. CloudWalk is building a revolutionary financial chatbot, and we need a Knowledge Graph Engineer to be the architect of its knowledge foundation.

Do you have a passion for organizing information and using your knowledge representation expertise to revolutionize how people interact with their money? If so, you have come to the right place! We are looking for brilliant minds to join our team and shape the future of financial services. Join us today!

About the team:

Our team develops innovative conversational AI solutions for internal and external customers. We are a group of passionate individuals who value bold experimentation and out-of-the-box thinking to break through barriers and make the impossible possible. Collaboration is at the heart of our team culture. We believe in the power of collective intelligence and thrive in a supportive environment where challenges are embraced as opportunities for growth.

About the job:

We are seeking a passionate Knowledge Graph Engineer who thrives in a dynamic environment fueled by rapid iteration and cutting-edge advancements in Conversational AI. Your primary responsibility will be to design and execute experiments that explore innovative techniques for fusing the power of knowledge graphs and large language models to create a more informative and comprehensive chatbot experience. This role offers the opportunity to learn rapidly through quick iterations and play a pivotal role in shaping the future of our technology.

Required skills:

• Experience designing and building knowledge graphs
• Familiarity with knowledge representation principles
• Proficiency in graph database technologies (Neo4j preferred) and query languages (Cypher preferred)
• Experience with Python programming and relevant libraries
• Understanding of data structures and algorithms
• Experience with version control systems
• Strong analytical and problem solving skills
• Excellent communication and collaboration skills

Nice-to-have skills:

• Experience with reasoning and inference techniques within knowledge graphs
• Experience with large language models and their functionalities
• Experience with data quality assurance practices
• Experience working in the financial services industry

Our recruitment process:

The recruitment process is designed to be efficient and informative.

Here is a general outline:

-Online technical assessment

-Technical interview

-Cultural interview

Diversity and Inclusion: We believe diverse perspectives and backgrounds fuel groundbreaking innovation. That is why we foster a welcoming work environment where everyone feels valued and empowered to contribute their unique ideas, regardless of gender, ethnicity, race, religion, sexuality, mobility, disability or education.