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Machine Learning Engineer, Applied AI

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Machine Learning Engineer, Applied AI in Others new

  • Seoul, Korea

Responsibilities

  • Build and improve ML models for classification, ranking, retrieval, personalization, and related applications.
  • Optimize classifiers and models for accuracy, precision, latency, and cost.
  • Improve search relevance and context retrieval using embeddings, hybrid search, and reranking.
  • Develop personalization models based on user behavior while respecting privacy.
  • Build evaluation pipelines, labeled datasets, and metrics to measure model quality.
  • Fine-tune and adapt existing models when sufficient data is available.
  • Build and maintain ML training, inference, and deployment pipelines.
  • Debug production issues, monitor model performance, and ship improvements based on real-world feedback.
  • Collaborate with engineering and product teams to deliver reliable ML-powered features.

Requirements

  • Strong foundations in machine learning and modern neural architectures.
  • Hands-on experience building and deploying ML models in production.
  • Experience with classification, ranking, retrieval, recommendation systems, or personalization.
  • Understanding of model evaluation, experimentation, and performance metrics.
  • Ability to write production-quality code and work with real-world datasets.
  • Ability to balance model quality, latency, cost, and reliability.
  • Strong ownership and problem-solving skills.

Bjak

Our mission is to develop technology based solutions to improve financial inclusion. We develop new & innovative platforms & services globally. For example, we are the first platform to simplify and digitise comprehensive life and medical insurance, supported by AI agent. BJAK is the largest insu...

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