Job Description
8+ years of relevant experience.Experience using query language like Cypher, SPARQL, SQL.Must have a deep understanding of graph query (GQL), how to build business system-engineering architectures using graphs, how to scale the workload on distributed systems.Hands on experience applying graphs for business impact, including experience on data management, infrastructure, budgeting, trade-offs, project workflow management, and business processes engineering.Strong programing skills: Python for Supercomputing on TB+ data.Experience with creating quantitative analytics and business operation dashboards using Tableau or other visualization tools.Experience with data mining, relational and noSQL databases, and data warehouse for data automation.Experience working with large language model and natural language processing is a plus.Excellent problem solving, critical thinking backed by expert understanding of probability, statistics, algorithms, and mathematics.Be able to strategize and innovate business solutions for high impact projects.Be able to evaluate and transform latest, untested academic methods into production workflows.Hands on experience applying knowledge graphs for business impact (including building, analyzing, and querying knowledge graphs)Hands on experience with large-scale knowledge graph data management & infrastructureExperience with entity recognition and extraction.Experience with Spacy and NLTKStrong understanding of probability, statistics, algorithms, and mathematics.