BJAK

1 month ago

Principal Machine Learning Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 16 minutes agoStatus: Live

Job Summary

Lead production-grade ML systems from research to deployment. Own end-to-end pipelines (data, training, evaluation, inference, deployment), optimize GPUs, manage latency and cost, and collaborate with backend/mobile/desktop teams to ship reliable AI features. Focus on scalable inference, data quality for training, and robust evaluation under real-world constraints.

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 pipelines spanning data, training, evaluation, inference, and deployment.
•Fine-tune and adapt models using LoRA, QLoRA, SFT, DPO, and distillation.
•Architect and operate scalable inference systems, balancing latency, cost, and reliability.
•Design and maintain data systems for high-quality synthetic and real-world training data.
•Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership.

Key Requirements

•Strong background in deep learning and transformer-based architectures.
•Hands-on experience training, fine-tuning, or deploying large-scale ML models in production.
•Proficiency with at least one modern ML framework (e.g. PyTorch, JAX), and ability to learn others quickly.
•Experience with distributed training and inference frameworks (e.g. DeepSpeed, FSDP, Megatron, ZeRO, Ray).
•Strong software engineering fundamentals – you write robust, maintainable, production-grade systems.

Skills:Problem-solvingCollaborationAnalytical thinkingCommunication

Languages:English

Tech Stack:PyTorchJAXDeepSpeedFSDPMegatronZeRORayLoRAQLoRASFTDPODistillationGPU optimizationTensorRTVLLMRLHFApache ArrowSpark

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: 2.5

Website LinkedIn Glassdoor

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BJAK

1 month ago

Principal Machine Learning Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 16 minutes agoStatus: Live

Job Summary

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 pipelines spanning data, training, evaluation, inference, and deployment.
•Fine-tune and adapt models using LoRA, QLoRA, SFT, DPO, and distillation.
•Architect and operate scalable inference systems, balancing latency, cost, and reliability.
•Design and maintain data systems for high-quality synthetic and real-world training data.
•Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership.

Key Requirements

•Strong background in deep learning and transformer-based architectures.
•Hands-on experience training, fine-tuning, or deploying large-scale ML models in production.
•Proficiency with at least one modern ML framework (e.g. PyTorch, JAX), and ability to learn others quickly.
•Experience with distributed training and inference frameworks (e.g. DeepSpeed, FSDP, Megatron, ZeRO, Ray).
•Strong software engineering fundamentals – you write robust, maintainable, production-grade systems.

Skills:Problem-solvingCollaborationAnalytical thinkingCommunication

Languages:English

Tech Stack:PyTorchJAXDeepSpeedFSDPMegatronZeRORayLoRAQLoRASFTDPODistillationGPU optimizationTensorRTVLLMRLHFApache ArrowSpark

Company Brief

BJAK

Industry: InsurTech

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: Selangor, Malaysia

Founded: 2019

Glassdoor: 2.5

Website LinkedIn Glassdoor