AI and Data Application Intern

2 Months ago • Upto 1 Years • Backend Development

About the job

Job Description

This internship focuses on building and deploying AI & data applications for key business units. You'll collaborate with data scientists, engineers, and machine learning experts to create industry-leading AI products. Experience with Python, cloud technologies (AWS), container services (Docker, Kubernetes), and CI/CD pipelines is essential.
Must have:
  • Python scripting
  • Cloud technologies
  • Docker & Kubernetes
  • CI/CD pipelines
Good to have:
  • Generative AI
  • Machine learning
  • SQL database
  • Terraform
Perks:
  • Global mission
  • Gamer-centric culture
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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 pivotal role in building and deploying AI and data applications essential for key business units within the company. The intern will need to have a good software engineering background and be comfortable with working in a cloud environment. This role will challenge the intern into taking up multiple hats thereby increasing the breadth of the intern's capabilities.

Learning Objectives

The intern can learn to collaborate with a team of expert data scientists, data engineers and machine learning engineers to build industry leading AI products. The intern will be involved in the development phase as well as the CICD phases of these projects.

Learning Outcome

  • Industry practices and essentials to writing clean code in Python
  • Building robust CI/CD pipelines for continuous code integration and deployment
  • Integrating various APIs and software together
  • Deploying dockerized solutions on Kubernetes cluster
  • SQL database usage of materialized view, view for operations
  • Cloud computing technology – AWS
  • Infrastructure as code - Terraform
  • Technical requirement gathering and translation to end to end delivery of the project

Pre-Requisites :

  • Ability to learn and pick up new technologies fast
  • Experience writing Python scripts
  • Familiar with calling backend APIs and networking concepts
  • Experience with cloud technologies (Amazon Web Services, Google Cloud Platform)
  • Knowledge of container services like Docker and Kubernetes
  • Familiar with deploying CICD pipelines (GitLab, Jenkins)
  • Interest in Generative AI, machine learning and other AI concepts

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About The Company

Shah Alam, Selangor, Malaysia (On-Site)

Shah Alam, Selangor, Malaysia (On-Site)

Singapore (On-Site)

King Of Prussia, Pennsylvania, United States (On-Site)

Singapore (On-Site)

King Of Prussia, Pennsylvania, United States (On-Site)

Singapore (On-Site)

Tokyo, Japan (On-Site)

Tokyo, Japan (Hybrid)

Singapore (On-Site)

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