Data Science Intern (Computer Vision)

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.

Job Responsibilities :

Razer is seeking a driven intern to support our AI/ML team in computer vision projects, focusing on image processing, synthetic data generation, and automated labeling. You may also help deploy models through MLOps pipelines, perform analyses to improve performance, and learn about cloud technologies. Throughout the internship, you’ll refine your Python coding skills, explore best practices in feature engineering, and gain valuable hands-on experience in modern AI/ML workflows.

The intern will work on tasks such as image processing, image augmentation, synthetic data generation, automatic labeling, and internal tools creation for computer vision . The intern can also be involved in the deployment of models via a systematic MLOps pipelines. By analyzing the output of the deployed models, the intern will also perform further analysis to better improve the models. Throughout the process, the intern will learn the skills of proper documentation for these works.

Requirements:

• Creative and innovative mindset and ability to work independently
• Ability to use one or more development language (Python etc)
• Familiar with cloud technologies (Amazon Web Services, Google Cloud Platform)
• Interest and experience in Data Science, Machine Learning and Artificial Intelligence
• Strong problem solving skills to deal with uncertainty

Learning Objectives

The intern can learn data science concepts, feature engineering skills, deployment of AI/ML models systematically via MLOps and understand the wider realm of data science. The application of the different cloud computing knowledge can also be picked up.

Learning Outcome

• Industry practices and essentials to writing clean code in Python
• Feature engineering, including pipeline design and boiler plating
• Algorithm selection and AI/ML model training
• AI/ML model evaluation techniques
• Cloud computing technology – AWS
• Infrastructure as code - Terraform
• Technical requirement gathering and translation

Intern will be playing a key role in supporting to building & optimizing of Artificial Intelligence (AI) / Machine Learning (ML) Engines, that are important to Razer’s AI initiatives.

Pre-Requisites :

Are you game?