
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.
Yesterday

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.
• Work with product, data, and engineering teams to define ML goals and technical strategies • Design, build, and deploy machine learning models for personalization, automation, and insights • Manage the full ML lifecycle: data preprocessing, feature engineering, training, tuning, evaluation, deployment • Build scalable ML infrastructure and deployment pipelines • Integrate ML outputs into user-facing products and backend systems • Stay up-to-date with AI/ML research trends and apply relevant innovations • Contribute to debugging, testing, and optimization of production ML systems
• Bachelor’s degree in Computer Science, Data Science, Engineering, or any related technical field • Strong proficiency in Python • 2–4 years of experience in machine learning or backend software development • Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn) • Solid understanding of ML workflows: data cleaning, model development, tuning, evaluation • Familiarity with model deployment, API development, or real-world ML product integration • Experience with Jupyter, Colab, or cloud-based ML platforms • Strong analytical, problem-solving, and communication skills • Comfortable working remotely and collaborating across time zones
• Competitive salary and performance-based bonuses • Flexible, fully remote work arrangement • Direct impact - your work reaches millions of users • Flat, transparent team environment • Opportunities for rapid personal and technical growth • Cross-regional collaboration and exposure
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