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.
- Good 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
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.
- Good 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
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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