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Machine Learning Engineer

Seoul (On-site) • Full-time

  • Machine Learning
No longer accepting applications

Insights about this position

  • Visa sponsorship: No

    The company cannot sponsor a Korean work visa for this role.

  • Korean language proficiency: Not required

    No knowledge of Korean is required for this role.

  • Workplace type: On-site

    Work is primarily performed at the office.

As a Machine Learning Engineer, you will be a creative thinker and utilize data, machine learning, and software development skills to craft high-impact solutions that transform our business.

At Zephframe our mission is to make buildings smarter and more efficient by using machine learning. As a Machine Learning Engineer you will analyze large amounts of data and implement ML techniques to optimize energy performance.

Responsibilities include, but are not limited to:

  • Collaborate in analyzing large volumes of historical data to make predictions.
  • Collaborate in building out new API integrations to support continuing increases in data volume and complexity.
  • Lead the development of machine learning applications.
  • Demonstrated work experience with data transformation and cleaning, feature building, model implementation.
  • Develop custom Reinforcement Learning agent algorithms and reward functions.
  • Works closely with a team of Data Engineers in building Machine Learning models.

Required Technical and Professional Expertise are:

  • Bachelor's Degree in Computer Science or related field.
  • 1+ years of experience as a Data Scientist, or Machine Learning.
  • Knowledge of machine learning techniques.
  • Knowledge of machine learning frameworks (Tensorflow, PyTorch, etc).
  • Basic understanding of Reinforcement Learning principles.
  • Strong analytic skills related to working with unstructured datasets, including collecting, analyzing, interpreting, and presenting data.
  • Familiarity with Data Science concepts.
  • Demonstrated knowledge in SQL and Python.
  • Ability to build successful ML projects with a strong engineering focus.

Not a must, but better if:

  • Experience with relational SQL and NoSQL databases.
  • Experience with Machine Learning frameworks.
  • Experience deploying Machine Learning models and MLOps.
  • Technical expertise with data models, data mining, and segmentation techniques.
  • Hands-on experience with SQL database design.
  • Ability to speak and write in English.

Please check before you apply:

  • Recruitment Type : full-time
  • Working hours: Mon – Fri, Flexible Hours (core hours 11:00 – 16:00)
  • Location: Seongsu (성수)
  • Documents to Submit: Resume (required), Portfolio (required)
  • Application Format: English / Free Format / PDF

Working at Zephframe

At Zephframe you can take part in solving one of the most complex global challenges, and contribute in making an impact that will benefit all actors involved in the global building energy and asset management industry.

We want to work with people who are passionate about solving complex problems that haven’t been solved before and that may cause a huge impact on energy consumption and global warming.

Buildings use massive amounts of energy for heating and cooling however these systems don’t use any (data) intelligence when deciding HOW individual spaces should be heated or cooled. This problem is aggravated by the fact that buildings are unique and the use of building spaces changes dynamically.

As much as the problems we need to solve are complex, we are looking for the best talents who can work efficiently with great focus, sense of ownership and responsibility. Our talents are the foundations that make up who we are.