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 : AWS Machine Learning
Good to have skills : Machine Learning (ML)
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Knowledge Engineer, your typical day involves designing and structuring comprehensive knowledge frameworks that empower artificial intelligence systems to reason effectively and make well-informed decisions. You will focus on capturing expert knowledge and transforming unstructured information into organized ontologies, knowledge graphs, and semantic models. Your work ensures that the 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 across various domains.

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 efforts to maintain the quality and consistency of knowledge representations within the team.
- Facilitate knowledge sharing and continuous learning among team members to enhance overall expertise.
- Support junior professionals by guiding their development and assisting with complex challenges.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in AWS Machine Learning.
- Valuable To Have Skills: Experience with Machine Learning.
- Strong understanding of cloud-based machine learning services and their application in knowledge engineering.
- Experience in designing and implementing semantic models, ontologies, and knowledge graphs.
- Ability to analyze and interpret complex data structures to extract meaningful insights.
- Familiarity with advanced analytics techniques applied to knowledge representations.

Additional Information:

- The candidate should have minimum 8 years of experience in AWS Machine Learning.

- This position is based at our BDC11 - SEZ office.

- A 15 years full time education is required.

15 years full time education

📌 Knowledge Engineer (India)
🏢 Accenture
📍 India