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 : Graph Databases

Good to have skills : NA

Minimum 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 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 Knowledge Engineer ensures that these representations maintain accuracy and contextual relevance, facilitating automation and generating meaningful insights. Additionally, the role includes applying advanced analytical techniques to knowledge graphs to uncover solutions and support informed decision-making across various domains, fostering innovation and efficiency.

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 AI capabilities.
• Facilitate effective communication and knowledge sharing among cross-functional teams to align project goals.
• Mentor junior team members to support their professional growth and integration within the team.
  
  

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Graph Databases.
• Strong understanding of knowledge representation techniques including ontologies and semantic modeling.
• Experience in designing and implementing knowledge graphs to support AI-driven applications.
• Ability to apply advanced analytics and reasoning methods on graph-based data structures.
• Familiarity with data integration and transformation processes to ensure data quality and consistency.
• Skilled in collaborating with multidisciplinary teams to translate complex knowledge into actionable insights.
  
  

Additional Information:

• The candidate should have minimum 5 years of experience in Graph Databases.
• This position is based at our BDC7B - SEZ office.
• A 15 years full time education is required.