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)