Lead Engineer, Machine Learning

BJAK
Seoul
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Technical judgment","Independent problem-solving","Experimentation","Measurement","Reliability focus"]

Own the end-to-end machine learning execution layer, turning research and model capabilities into reliable, scalable production systems. Build and fine-tune large-model training pipelines, design evaluation for capability and real-world performance, and architect efficient inference with strong reliability and cost/latency trade-offs. Establish production infrastructure for deployment, monitoring, and continuous improvement while partnering across model lifecycle with research and application engineering.

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FursaFursa
BJAK
BJAK
3 days ago

Lead Engineer, Machine Learning

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Own the end-to-end machine learning execution layer, turning research and model capabilities into reliable, scalable production systems. Build and fine-tune large-model training pipelines, design evaluation for capability and real-world performance, and architect efficient inference with strong reliability and cost/latency trade-offs. Establish production infrastructure for deployment, monitoring, and continuous improvement while partnering across model lifecycle with research and application engineering.
Location: Seoul
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Own end-to-end ML systems powering the company from data and training through evaluation, inference, and deployment.
  • •Build and evolve training and fine-tuning pipelines for large models.
  • •Design evaluation systems to measure capability, robustness, safety, and real-world product performance.
  • •Architect high-performance inference systems optimizing latency, GPU utilization, memory, cost, and reliability.
  • •Establish production infrastructure for deploying, monitoring, and continuously improving models, partnering with research and application engineering.

Key Requirements

  • •Experience building and shipping machine learning systems in production (not just research prototypes).
  • •Strong understanding of large-model training, fine-tuning, evaluation, and inference.
  • •Strong software engineering and systems fundamentals.
  • •Experience operating ML workloads at meaningful scale, especially GPU-based systems.
  • •Ability to navigate ambiguous problems independently with strong technical judgment and high standards for correctness and reliability.
Experience:Large language modelsMachine learningProduction systemsGPU-based systems
Skills:Technical judgmentIndependent problem-solvingExperimentationMeasurementReliability focus
Tech Stack:PythonPyTorchJAXGPU-based trainingGPU-based inferenceTraining pipelinesInference systems

Company Brief

BJAK
Bjak is a Malaysia-based insurtech that operates an online insurance comparison and distribution platform across SEA, simplifying purchase and servicing of motor and life insurance using digital tools and AI-enabled services.
Industry: InsurTech
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: Selangor, Malaysia
Founded: 2019
Glassdoor
Glassdoor: 2.5
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