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 : Microsoft Azure Data Services
Valuable to have skills : Machine Learning (ML)
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
You lead a significant knowledge engineering scope and function within a large program actively contribute to thought leadership. You shape how a substantial body of work formulates real-world problems into scalable AI and KG solutions, and set the technical direction for that scope. You lead a team and guide exploration and implementation of new methodologies, model building techniques, and cutting-edge algorithms.
You remain at the forefront and drive innovation by applying these techniques to new business problems, use cases, and scenarios. You design, evaluate, and maintain ontologies, and establish the standards others follow. You justify the value to business and technology stakeholders, and construct the methodologies and data architectures that demonstrate it. You publish or present perspective beyond the immediate project. You work across business and technical teams to drive end-to-end delivery for their scope.
Leads the build of Knowledge Graph solutions that transform a client's data architecture within program scope.
Directs the design, development, and implementation of AI and semantic solutions, ensuring all the pieces work together seamlessly.
Works with project leaders, delivery leads, and client stakeholders to create stand-out, graph-powered Data & AI offerings.
Develops strong client relationships and earns the trust of k