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Technical Lead, Machine Learning

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Technical Lead, Machine Learning in Others new

  • Seoul, Korea

Responsibilities

  • Own end-to-end ML system execution across data pipelines, training workflows, evaluation systems, inference architecture, and deployment.
  • Fine-tune and adapt models using LoRA, QLoRA, SFT, DPO, and distillation.
  • Architect and operate scalable inference systems while balancing latency, cost, and reliability.
  • Design and maintain synthetic and real-world training data systems.
  • Implement evaluation pipelines for performance, robustness, safety, and bias in partnership with research leadership.
  • Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies.
  • Collaborate with application engineering to integrate ML systems into backend, mobile, and desktop products.
  • Detect, debug, and resolve production issues quickly while shipping measurable and safe improvements.

Requirements

  • Built or shipped real machine learning systems used by people rather than only demos.
  • Comfortable working with large models and understanding their failure modes.
  • Writes strong production-grade code and cares about system correctness.
  • Self-directed, pragmatic, and willing to take full ownership of outcomes.
  • Communicates clearly and collaborates effectively in small, high-trust teams.

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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