Knowledge Engineer

Overview

Design and structure knowledge frameworks that enable AI systems to reason and make informed decisions. Capture expert and unstructured knowledge into ontologies, knowledge graphs, and semantic models, and apply advanced analytics to support automation, problem-solving, and actionable insights.

What you'll do

• Act as an SME and collaborate with and manage the team to perform.
• Make team decisions.
• Engage with multiple teams and contribute to key decisions.
• Provide solutions to problems that apply across multiple teams.
• Lead the development and refinement of knowledge representation models to enhance AI reasoning capabilities.
• Facilitate communication and knowledge sharing between cross-functional teams to align project goals and deliverables.
• Mentor junior team members by providing guidance and support to foster their professional growth.
• Continuously evaluate emerging technologies and methodologies to improve knowledge engineering practices and outcomes.

What you'll need

• Minimum 12 years of experience in Microsoft Azure Data Services.
• Proficiency in Microsoft Azure Data Services.
• Strong expertise in designing and implementing ontologies and semantic models.
• Experience in building and managing knowledge graphs for complex data relationships.
• Ability to apply advanced analytics techniques to extract insights from structured knowledge bases.
• Familiarity with data integration and transformation processes within cloud environments.
• 15 years full time education.

Nice to have

• Experience with Machine Learning (ML).

Details

• Based at the Pune office.