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AI Knowledge Engineer - Data Modeling

AI Knowledge Engineer - Data Modeling

NorthStar HR ConsultantsPune
30+ days ago
Job description

Job Title : AI Knowledge Engineer.

In this role, you will be responsible for developing cutting-edge deep learning-based knowledge graphs which are not about perceptions but algorithms and advancing the state of knowledge.

Job Descriptions :

  • Responsible for the design and implementation of a global-scale machine learning system for incoming content and their varieties think of ingestion, classification, tagging, and insights.
  • Responsible for improving the use-ability and flexibility of the machine learning infrastructure.
  • Responsible for improving the workflow of model training and serving, data pipelines, and resource management for the multi-tenancy machine learning systems.
  • Responsible for designing and developing key components of ML infrastructure and mentoring interns.
  • Support the production of scalable and optimized AI / machine learning (ML) models.
  • Run experiments to test the performance of deployed models, and identify and resolves bugs that arise in the process.
  • Work in a team setting and apply knowledge in statistics, scripting, and programming languages required by the firm.
  • Work with the relevant software platforms in which the models are deployed.

Job Requirements :

  • Education does not matter but related demonstrable experience is a must.
  • Strong programming skills with Python, with demonstrated delivery of robust, well-tested software.
  • Industry Experience in deploying AI models.
  • Strong written and verbal communication skills, to collaborate with stakeholders of various backgrounds.
  • Industry Experience writing production-quality, performance-critical code, and maintaining large codebases.
  • Strong analytical abilities to quickly grasp concepts and design solutions.
  • Ability to work independently and complete projects from beginning to end and in a timely manner.
  • Good communication and teamwork skills to clearly communicate technical concepts with other teammates.
  • (ref : hirist.tech)

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