Key Responsibilities:

Lead a team of engineers to develop and maintain our knowledge graph infrastructure
Design and implement data models for our knowledge graph
Develop and maintain data pipelines to ingest and transform data from various sources into the knowledge graph
Collaborate with data scientists and machine learning engineers to incorporate new data and improve the accuracy and performance of our knowledge graph
Identify and implement improvements to our knowledge graph infrastructure to enhance scalability, reliability, and performance
Stay up-to-date with industry trends and advancements in knowledge graph technology to ensure our infrastructure remains competitive and cutting-edge
Provide technical guidance and mentorship to junior engineers on the team
Work closely with cross-functional teams to understand business requirements and translate them into technical solutions
Communicate technical concepts and solutions to non-technical stakeholders

Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Minimum of 5 years of experience in software engineering, with a focus on knowledge graph development
Experience in leading a team of engineers
Strong understanding of graph database concepts and technologies (e.g. Neo4j, RDF, SPARQL)
Proficiency in data modeling and database design principles
Experience with data integration and ETL processes
Familiarity with machine learning concepts and techniques
Excellent problem-solving and analytical skills
Strong communication and collaboration skills
Ability to work independently and in a fast-paced, dynamic environment

Join our team and be a part of shaping the future of our knowledge graph infrastructure.

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