3+ years relevant industry experience in deploying database engineering solutions
Bachelors or Masters in Software Engineering, Computer Science, Computer Engineering or relevant statistical discipline
Knowledge of distributed database systems
Familiarity with machine learning and AI concepts related to vector data
Experience with cloud-based database solutions especially in Azure but similar experience with AWS or Google is welcomed
Experience in Azure DevOps & Azure Cloud Services (e.g. Azure Blob, Azure Key Vault, Azure Data Factory) or similar experience with AWS or Google
Proven experience in designing and implementing graph databases, knowledge graph with a focus on NebulaGraph or other like Neo4J/TigerGraph etc. for knowledge graph applications
Strong proficiency in database optimization, performance tuning, and query languages
Familiarity with graph algorithms and data modeling for knowledge graphs
Experience with LLM and other related frameworks like Langchain, LLamaCPP etc
Extensive programming experience with relevant programming languages, such as Python, Java, Scala or Cypher
Foundational understanding in any of the following: Natural Language Processing, Computer Vision, Machine Learning or Deep Learning
Experience with CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing and Integration Testing tools
Excellent problem-solving skills and the ability to work in a collaborative team environment