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

• Turn model capabilities into real product behavior. • Own problems end-to-end, from shaping model behavior, to building the systems around it, to ensuring it performs reliably in production. • Debug issues across the full stack (model, orchestration, infra, UX) • Optimize for latency, cost, and production reliability • 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

• The best products today in the world were built by small, world class teams. • We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.

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