Data Science Intern

9 Months ago • Upto 1 Years

Job Summary

Job Description

Razer seeks a Data Science Intern to contribute to AI/ML engine development and optimization. Responsibilities include feature engineering, model deployment via MLOps, and model analysis. Must have experience with Python, SQL, Dbt, and cloud technologies (AWS, GCP).
Must have:
  • Python experience
  • SQL knowledge
  • Cloud technologies
  • Machine Learning
Good to have:
  • Dbt experience
  • Orchestration tools
  • MLOps pipeline
  • Feature engineering
Perks:
  • Global mission
  • Gamer-centric culture

Job Details

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?

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About The Company

At Razer, you'll be at the forefront of the most exciting industry in the world — gaming. Evolving forms of gaming require evolving forms of hardware, software and services. That’s where Razer comes in, offering innovative top-of-the-line products and services to allow gamers to fully immerse in the ultimate gaming experience.Getting onboard Razer will place you on a global mission to bring gamers closer to the games they love. Razer is a place to do great work, offering you the opportunity to be a part of a global team across 11 countries. Whether you are a hardcore evangelist who breathe life to the latest and greatest gaming gear or a behind-the-scene hero who runs our global operations, you are assured of a career-changing quest that transcends time zones and culture with one single spell: For Gamers. By Gamers.The journey towards phenomenal-ness won’t come easy. However, we will excel because gamers rely on teamwork. We achieve greatness because we are wicked problem-solvers and tenacious in clinching victories in all that we do. It is the team that makes Razer where it is today and will continue to bring Razer to even greater heights.

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