Description

Build and maintain knowledge graphs and ontologies while developing AI models to extract insights from structured and unstructured data.

Responsibilities

• Build and maintain graph-based ontologies from scratch using Python.
• Mine and acquire data from primary and secondary sources to reorganize it for machine readability.
• Develop, manage, and update master data to support client model development.
• Create efficient, reusable code and manage versions using Git or Bitbucket.
• Generate reports and statistical analyses to communicate trends, patterns, and predictions.

Required Skills

• 5+ years of experience in AI/ML or Data Science roles.
• Strong proficiency in Python for building knowledge graphs and ontologies.
• Hands-on experience with graph databases such as AWS Neptune or Neo4j.
• Experience with LLMs, Generative AI, and document extraction/chat applications.
• Working knowledge of cloud-native environments, specifically AWS.
• Proficiency in SQL and DBMS.
• Experience working with structured and unstructured data.
• Competency in version control tools like Git or Bitbucket.
• Strong mathematical, analytical, and statistical modeling skills.

Preferred Skills

• Experience with AWS Textract and Comprehend Medical.
• Experience building ontologies within the healthcare domain.

Key Skills

Education

Any Graduate