AI Knowledge Engineer

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.

• 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.