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.