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.
Applied AI Engineer
🕒 May 26
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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
• Build and ship AI features end-to-end (model → system → user experience) • Design and iterate on prompts, tools, memory, and agent workflows • Turn raw model outputs into structured, reliable, and predictable behaviors • Debug issues across the full stack (model, orchestration, infra, UX) • Optimize for latency, cost, and production reliability • Develop lightweight evaluation frameworks to measure real-world performance • Work closely with product and engineering to translate ambiguous problems into working systems
🎯 Requirements
• Strong foundation in machine learning and modern neural network architectures • Hands-on experience with training, fine-tuning, or deploying ML models • Ability to write clean, production-quality code • Comfort working across abstraction layers (model → infra → product) • Strong problem-solving skills in ambiguous, fast-moving environments • Bias toward shipping, iteration, and continuous improvement
🏖️ Benefits
• Our product focuses on achieving high reliability for long-running workflows • Collaborates effectively with engineers, product, and research teams to deliver reliable ML-powered features • Iterations on models and systems are driven by real-world signals and measurable improvements
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