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Kasagi Labo

Data Engineer

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  • Posted 3 months ago

Job Description

About the Company

Kasagi Labo is building the definitive heartbeat of anime and manga culture worldwide. We create vibrant digital platforms and global communities that connect fans with creators and rights-holders in authentic, scalable ways. Our mission is bold, and our team thrives on experimentation, ownership, and a winning spirit.

Role Overview

Were hiring a Data/AI Engineer with strong foundations in data engineering whos excited to step into the world of AI. Youll design scalable data systems and collaborate with data scientists to bring machine learning applications to life. This is an ideal role for someone eager to evolve from traditional data work into AI/ML-powered innovation.

Your Responsibilities

  • Build and maintain scalable data pipelines for structured and unstructured data
  • Develop infrastructure to support analytics, AI, and ML applications
  • Partner with software engineer to integrate and deploy models into production
  • Ensure data governance, quality, and security standards are upheld
  • Explore AI frameworks and tools to test and implement new ideas

Who You Are

  • Proficient in Python and SQL, with experience in distributed data systems (e.g., Spark, Hadoop)
  • Expert in both Relational Databases and NoSQL (Postgresql, Firebase, Mongodb)
  • Hands-on with cloud data platforms (BigQuery, RedShift, Snowflake, or similar)
  • Familiar with (or eager to learn) ML/AI frameworks such as TensorFlow or PyTorch
  • Curious, adaptable, and motivated to grow your expertise in Data engineering & AI
  • Bonus: Experience deploying fine tuned AL models or ML models into production

Culture

At Kasagi Labo, our culture is built around shared values:

  • Move with Purpose We act with clarity and decisiveness.
  • Carve Your Own Path Initiative and ownership drive our work.
  • Say It Like It Is Honesty and feedback shape how we grow.
  • We Play to Win We bring bold energy and succeed as a team.

More Info

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About Company

Job ID: 124368765

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