Lead Engineer, Machine Learning

BJAK
Singapore
Workplace: RemoteFull timeFunction: Data Science & Machine LearningSkills: ["Technical judgment","Experimentation","Measurement","Shipping mindset","Production quality focus"]

Own the end-to-end ML execution layer, translating research and model work into reliable, scalable production systems. Drive large-model training and fine-tuning pipelines, design evaluation for capability, robustness, safety, and real-world performance, and build high-performance inference optimized for latency and GPU efficiency. Establish production infrastructure for deploying, monitoring, and continuously improving models while collaborating closely with research and application engineering.

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FursaFursa
BJAK
BJAK
1 day ago

Lead Engineer, Machine Learning

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live
Reposted: similar role first listed 1 day ago

Job Summary

Own the end-to-end ML execution layer, translating research and model work into reliable, scalable production systems. Drive large-model training and fine-tuning pipelines, design evaluation for capability, robustness, safety, and real-world performance, and build high-performance inference optimized for latency and GPU efficiency. Establish production infrastructure for deploying, monitoring, and continuously improving models while collaborating closely with research and application engineering.
Location: Singapore
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Own end-to-end ML systems powering the company from data, training, evaluation, inference, to 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.
  • •Build data pipelines and production infrastructure to deploy, monitor, and continuously improve models, partnering with research and application engineering.

Key Requirements

  • •Experience building and shipping ML systems used 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, particularly GPU-based systems.
  • •Strong technical judgment to navigate ambiguous problems independently.
Experience:Machine learningLarge language modelsProduction ML
Skills:Technical judgmentExperimentationMeasurementShipping mindsetProduction quality focus
Tech Stack:PythonPyTorchJAXGPU-based trainingGPU-based inference

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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