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:

AI Powered Tech Talent

As a Knowledge Engineer, a typical day involves designing and organizing complex knowledge frameworks that support artificial intelligence systems in reasoning and decision-making processes. This role requires capturing expert insights and transforming unstructured information into structured ontologies, knowledge graphs, and semantic models. The professional ensures that these knowledge representations maintain accuracy and contextual relevance to facilitate automation and generate meaningful insights. Additionally, the day includes applying advanced analytical techniques to knowledge graphs to uncover solutions and actionable intelligence that benefit 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.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead the development and refinement of knowledge representation models to enhance AI capabilities.
- Facilitate effective communication and coordination among cross-functional teams to align knowledge engineering efforts with organizational goals.
- Mentor junior team members to support their growth and integration within the knowledge engineering domain.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in Microsoft Azure Data Services.
- Good To Have Skills: Experience with Machine Learning (ML).
- Solid expertise in designing and implementing ontologies and semantic models.
- Experience in constructing 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 Bengaluru office.
- A 15 years full time education is required.

15 years full time education

📌 Knowledge Engineer (India)
🏢 Accenture
📍 India