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 BigData
Good to have skills : Graph Databases, Neo4j, Data Engineering
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Knowledge Engineer, a typical day involves designing and structuring comprehensive knowledge frameworks that empower artificial intelligence systems to reason effectively and make well-informed decisions. This role requires capturing expert knowledge and transforming unstructured information into organized ontologies, knowledge graphs, and semantic models. Throughout the day, the Knowledge Engineer ensures that these knowledge representations maintain accuracy and contextual relevance, supporting automation and generating valuable insights. Additionally, the role includes applying advanced analytical techniques to knowledge graphs to facilitate problem-solving and derive actionable intelligence that benefits 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.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead the development and refinement of knowledge representation standards to enhance system interoperability.
- Facilitate knowledge sharing and continuous learning within the team to foster innovation and efficiency.
- Support junior team members by providing guidance and mentorship to help them grow professionally.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in AWS BigData.
- Good To Have Skills: Experience with Graph Databases, Neo4j, Data Engineering.
- Strong expertise in designing and implementing knowledge graphs and semantic models.
- Experience in applying advanced analytics techniques to extract insights from complex data structures.
- Familiarity with data integration and transformation processes to ensure high-quality knowledge bases.
- Ability to work with unstructured data and convert it into structured formats suitable for AI applications.
Additional Information:
- The candidate should have minimum 7.5 years of experience in AWS BigData.
- This position is based at our BDC7A - SEZ location.
- A 15 years full time education is required.
15 years full time education
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 BigData
Good to have skills : Graph Databases, Neo4j, Data Engineering
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Knowledge Engineer, a typical day involves designing and structuring comprehensive knowledge frameworks that empower artificial intelligence systems to reason effectively and make well-informed decisions. This role requires capturing expert knowledge and transforming unstructured information into organized ontologies, knowledge graphs, and semantic models. Throughout the day, the Knowledge Engineer ensures that these knowledge representations maintain accuracy and contextual relevance, supporting automation and generating valuable insights. Additionally, the role includes applying advanced analytical techniques to knowledge graphs to facilitate problem-solving and derive actionable intelligence that benefits 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.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead the development and refinement of knowledge representation standards to enhance system interoperability.
- Facilitate knowledge sharing and continuous learning within the team to foster innovation and efficiency.
- Support junior team members by providing guidance and mentorship to help them grow professionally.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in AWS BigData.
- Good To Have Skills: Experience with Graph Databases, Neo4j, Data Engineering.
- Strong expertise in designing and implementing knowledge graphs and semantic models.
- Experience in applying advanced analytics techniques to extract insights from complex data structures.
- Familiarity with data integration and transformation processes to ensure high-quality knowledge bases.
- Ability to work with unstructured data and convert it into structured formats suitable for AI applications.
Additional Information:
- The candidate should have minimum 7.5 years of experience in AWS BigData.
- This position is based at our BDC7A - SEZ location.
- A 15 years full time education is required.
15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
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