Project Role : Knowledge Engineer
Project Role Description : Design and structure knowledge frameworks that enable AI systems to reason and make informed decisions. Capture and translate expert and unstructured knowledge into ontologies, knowledge graphs, and semantic models, ensuring accuracy and context for automation and insights. Apply advanced analytics on knowledge graphs to drive problem-solving and actionable insights.
Must have skills : Databricks Unified Data Analytics Platform
Good to have skills : Graph Databases, Neo4j, Data Engineering
Minimum
7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
AI Powered Tech Talent
As a Knowledge Engineer, a typical day involves designing and structuring comprehensive knowledge frameworks that empower artificial intelligence systems to reason effectively and make well-informed decisions. This role requires capturing expert knowledge and transforming unstructured information into organized ontologies, knowledge graphs, and semantic models. Throughout the day, the Knowledge Engineer ensures that these knowledge representations maintain accuracy and contextual relevance, supporting automation and generating valuable insights. Additionally, the role includes applying advanced analytical techniques to knowledge graphs to facilitate problem-solving and derive actionable intelligence that benefits various organizational functions.
Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead the development and refinement of knowledge representation models to enhance artificial intelligence capabilities.
- Facilitate effective communication and knowledge sharing among cross-functional teams to align project goals and deliverables.
- Mentor junior team members by providing guidance and support to foster their professional growth and skill development.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
- Good To Have Skills: Graph Databases, Neo4j, Data Engineering.
- Strong experience in designing and implementing knowledge graphs and semantic models.
- Ability to work with unstructured data and transform it into structured knowledge representations.
- Familiarity with advanced analytics techniques applied to knowledge frameworks.
- Experience collaborating with diverse teams to integrate knowledge solutions into broader AI systems.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform.
- This position is based at our BDC7B - SEZ location.
- A 15 years full time education is required.
