BJAK

Machine Learning Engineer

• Fine-tune & adapt - Use LoRA/QLoRA to optimize open-source models (LLaMA, Mistral, Gemma)
• Engineer prompts & curates data - Craft prompts and datasets that reflect tone, brand voice, and safety.
• Evaluate models – Build metrics pipelines for perplexity, toxicity, and relevance to ensure safe and high-quality outputs.
• Deploy & monitor – Scale models into production with performance optimization and monitoring for drift.
• Collaborate & deliver – Partner with product, engineering, and design teams to launch user-facing AI features.
• You’ll fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. Your work ensures our models are not only intelligent, but also safe, trustworthy, and impactful at scale.

Machine Learning Engineer, LLM

• Fine-tune & adapt - Use LoRA/QLoRA to optimize open-source models (LLaMA, Mistral, Gemma)
• Engineer prompts & curates data - Craft prompts and datasets that reflect tone, brand voice, and safety.
• Evaluate models – Build metrics pipelines for perplexity, toxicity, and relevance to ensure safe and high-quality outputs.
• Deploy & monitor – Scale models into production with performance optimization and monitoring for drift.
• Collaborate & deliver – Partner with product, engineering, and design teams to launch user-facing AI features.
• Work closely with regional teams across product, engineering, operations, infrastructure and data to build and scale impactful AI solutions.

• Fine-tune & adapt - Use LoRA/QLoRA to optimize open-source models (LLaMA, Mistral, Gemma)
• Engineer prompts & curates data - Craft prompts and datasets that reflect tone, brand voice, and safety.
• Evaluate models – Build metrics pipelines for perplexity, toxicity, and relevance to ensure safe and high-quality outputs.
• Deploy & monitor – Scale models into production with performance optimization and monitoring for drift.
• Collaborate & deliver – Partner with product, engineering, and design teams to launch user-facing AI features.

Transform Visual Models into Real-World Applications
Fine-tune & Adapt – Train and customize diffusion models (SDXL, Flux, Stable Diffusion variants) using LoRA, DreamBooth, and other parameter-efficient methods.
Curate Datasets – Build, clean, and annotate large-scale image datasets with captioning, tagging, and NSFW filtering for safe and aligned generation.
Evaluate & Align – Develop pipelines to measure fidelity, diversity, style adherence, and safety across generated outputs.
Optimize Performance – Apply GPU memory optimization, latent diffusion tricks, and distributed training for efficient scaling.
Deploy & Monitor – Ship diffusion-powered features into production with monitoring for drift, latency, and quality.
Collaborate & Deliver – Work with product and design to integrate generative vision capabilities into user experiences.
Likes ownership and independence
Bias for speed - prototype, test, and iterate without waiting for perfect plans.
Stay calm and effective in startup chaos - shifting priorities and building from zero doesn’t faze you.
Possess humility, hunger, and hustle, and lift others up as you go.

Machine Learning Engineer, Diffusion/Vision

• Fine-tune & Adapt – Train and customize diffusion models (SDXL, Flux, Stable Diffusion variants) using LoRA, DreamBooth, and other parameter-efficient methods.
• Curate Datasets – Build, clean, and annotate large-scale image datasets with captioning, tagging, and NSFW filtering for safe and aligned generation.
• Evaluate & Align – Develop pipelines to measure fidelity, diversity, style adherence, and safety across generated outputs.
• Optimize Performance – Apply GPU memory optimization, latent diffusion tricks, and distributed training for efficient scaling.
• Deploy & Monitor – Ship diffusion-powered features into production with monitoring for drift, latency, and quality.
• Collaborate & Deliver – Work with product and design to integrate generative vision capabilities into user experiences.
• What Is It Like – Ownership and independence; prototype, test, and iterate quickly; thrive in startup environment; bias for speed; growth mindset; humility and hustle.
• About BJAK – Southeast Asia’s #1 insurance aggregator with 8M+ users; HQ in Malaysia; operates in Thailand, Taiwan, and Japan.

Data Engineer

• Collect, clean, and preprocess user-generated text and image data for fine-tuning large models
• Design and manage scalable data labeling pipelines, leveraging both crowdsourcing and in-house labeling teams
• Build and maintain automated datasets for content moderation (e.g., safe vs unsafe content)
• Collaborate with researchers and engineers to ensure datasets are high-quality, diverse, and aligned with model training needs