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.

 

Qualifications

• 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 & infrastructure
• Experience with entity recognition and extraction.
• Experience with Spacy and NLTK
• Strong understanding of probability, statistics, algorithms, and mathematics.