Principal Machine Learning Engineer

BJAK
Jakarta
Workplace: RemoteFull timeFunction: Data Science & Machine LearningSkills: ["Technical judgment","Problem-solving","Experimentation mindset","Measurement-driven"]

Own the execution layer of intelligent, proactive applications by taking ML capabilities from data and training through evaluation, inference, and deployment. Build and evolve training and fine-tuning pipelines for large models, design robust evaluation systems, and architect high-performance inference optimized for latency, GPU utilization, memory, cost, and reliability. Establish production infrastructure for monitoring and continuous improvement, partnering closely with research and application engineering to ship reliable real-world outcomes.

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FursaFursa
BJAK
BJAK
3 days ago

Principal Machine Learning Engineer

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

Job Summary

Own the execution layer of intelligent, proactive applications by taking ML capabilities from data and training through evaluation, inference, and deployment. Build and evolve training and fine-tuning pipelines for large models, design robust evaluation systems, and architect high-performance inference optimized for latency, GPU utilization, memory, cost, and reliability. Establish production infrastructure for monitoring and continuous improvement, partnering closely with research and application engineering to ship reliable real-world outcomes.
Location: Jakarta
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Own end-to-end ML systems 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 performance.
  • •Architect high-performance inference systems optimizing latency, GPU utilization, memory, cost, and reliability.
  • •Establish production infrastructure for deploying, monitoring, and continuously improving models while partnering with research and application engineering.

Key Requirements

  • •Experience building and shipping ML systems used in production, beyond research prototypes.
  • •Strong understanding of modern large-model training, fine-tuning, evaluation, and inference.
  • •Strong software engineering and systems fundamentals.
  • •Experience operating GPU-based ML workloads at meaningful scale.
  • •High technical judgment to navigate ambiguous problems independently and deliver with experimentation and measurement.
Experience:Large modelsProduction machine learningGPU-based systemsSynthetic training data
Skills:Technical judgmentProblem-solvingExperimentation mindsetMeasurement-driven
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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