BJAK
51 - 200 employees
🛍️ eCommerce
🏪 Marketplace
eCommerce • Insurance • Marketplace
BJAK is a leading online platform in Southeast Asia that offers comprehensive automobile insurance comparison services. The company enables Malaysian users to compare and purchase auto insurance from multiple insurers efficiently, providing considerable savings and convenience. BJAK is renowned for its user-friendly digital platform that allows quick insurance and road tax renewals, offering discounts up to 11%. With a strong emphasis on customer service, BJAK also provides 24/7 roadside assistance, accident support, and replacement vehicles. It is a pioneer in the insurance comparison sector in the region and has facilitated significant savings for millions of car owners.
Staff Machine Learning Engineer
🕒 April 11
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BJAK
51 - 200 employees
🛍️ eCommerce
🏪 Marketplace
eCommerce • Insurance • Marketplace
BJAK is a leading online platform in Southeast Asia that offers comprehensive automobile insurance comparison services. The company enables Malaysian users to compare and purchase auto insurance from multiple insurers efficiently, providing considerable savings and convenience. BJAK is renowned for its user-friendly digital platform that allows quick insurance and road tax renewals, offering discounts up to 11%. With a strong emphasis on customer service, BJAK also provides 24/7 roadside assistance, accident support, and replacement vehicles. It is a pioneer in the insurance comparison sector in the region and has facilitated significant savings for millions of car owners.
📋 Description
• Own end-to-end ML system execution: data pipelines, training workflows, evaluation systems, inference architecture, and deployment. • Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation. • Architect and operate scalable inference systems. • Design and maintain data systems for training data. • Implement evaluation pipelines covering performance, robustness, safety, and bias. • Own production deployment including GPU optimization and scaling policies.
🎯 Requirements
• Experience in building or shipping real ML systems used by people • Comfortable working with large models and understanding their failure modes • Strong production-grade code writing skills • Self-directed and pragmatic • Clear communication and collaboration in small teams
🏖️ Benefits
• Competitive salary • Flexible working arrangements • Professional development opportunities • Health insurance
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