Knowledge Engineer

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 Good to have skills : Machine Learning (ML) Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education

Summary: As a Knowledge Engineer, your day involves designing and organizing complex knowledge frameworks that empower artificial intelligence systems to reason effectively and make well-informed decisions. You will focus on capturing expert insights and transforming unstructured information into structured ontologies, knowledge graphs, and semantic models. Your work ensures that these knowledge representations maintain accuracy and contextual relevance, supporting automation and generating valuable insights. Additionally, you will apply advanced analytical techniques to these knowledge structures to facilitate problem-solving and deliver actionable outcomes that benefit multiple teams and projects.

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.
• Expected to 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.

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Microsoft Azure Data Services.
• Good To Have Skills: Experience with Machine Learning (ML).
• 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.

Additional Information:

• The candidate should have minimum 12 years of experience in Microsoft Azure Data Services.
• This position is based at our Pune office.
• A 15 years full time education is required.

15 years full time education

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