Data Science Intern

Posted 11 Hours Ago
Be an Early Applicant
Singapore
1 Years Experience
Gaming • Hardware
The Role
Join Razer as a Data Science Intern to support the building and optimization of AI/ML Engines. Responsibilities include revamping feature pipelines, deploying models via MLOps, and analyzing model output for improvement. Learning objectives cover data science concepts, feature engineering, AI/ML model deployment, and cloud computing. Required skills include Python, SQL, cloud technologies, and interest/experience in Data Science, ML, and AI.
Summary Generated by Built In

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 :

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.

The intern will work on revamping existing feature pipelines and building of new feature pipelines via feature engineering efforts. The intern can also be involved in the deployment of models via a systematic MLOps pipeline. 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, SQL, Dbt, etc)

  • Familiar with cloud technologies (Amazon Web Services, Google Cloud Platform)

  • Familiar with orchestration tools.

  • Interest and experience in Data Science, Machine Learning and Artificial Intelligence

Learning Objectives

The intern can learn data science concept, 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

  • Industry usage of a proper CI/CD for code repository integration and deployment

  • 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

Pre-Requisites :

Are you game?

Top Skills

Python
The Company
1,383 Employees
On-site Workplace
Year Founded: 2005

What We Do

Razer™ is the world’s leading lifestyle brand for gamers.

The triple-headed snake trademark of Razer is one of the most recognized logos in the global gaming and esports communities.

With a fan base that spans every continent, the company has designed and built the world’s largest gamer-focused ecosystem of hardware, software and services.

Razer’s award-winning hardware includes high-performance gaming peripherals and Blade gaming laptops. Razer’s software platform, with over 70 million users, includes Razer Synapse (an Internet of Things platform), Razer Chroma™ (a proprietary RGB lighting technology system), and Razer Cortex (a game optimizer and launcher).

In services, Razer Gold is one of the world’s largest virtual credit services for gamers, and Razer Fintech is one of the largest online-to-offline digital payment networks in SE Asia.

Founded in 2005 and dual-headquartered in Irvine and Singapore, Razer has 18 offices worldwide and is recognized as the leading brand for gamers in the USA, Europe and China. Razer is listed on the Hong Kong Stock Exchange (Stock Code: 1337).

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