
51 - 200 employees
đď¸ eCommerce
đŞ 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.
đ May 26
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51 - 200 employees
đď¸ eCommerce
đŞ 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.
⢠Build and improve ML components across data, training, evaluation, and inference. ⢠Fine-tune and adapt models as part of larger production systems. ⢠Implement evaluation and testing to understand model behavior. ⢠Help build and maintain data pipelines for real-world and synthetic data. ⢠Debug model issues, performance problems, and production incidents. ⢠Ship improvements iteratively and learn from real user feedback. ⢠Work closely with senior ML engineers and product teams. ⢠Work under real production constraints: latency, cost, reliability, and safety
⢠Strong foundations in machine learning and modern neural architectures. ⢠Some hands-on experience training, fine-tuning, or deploying ML models. ⢠Comfortable writing production-quality code and learning new tools quickly. ⢠Curious, coachable, and eager to learn from real systems in production. ⢠Able to work through ambiguity with guidance and grow ownership over time. ⢠Bias toward shipping, iteration, and continuous improvement.
⢠Flexible working hours ⢠Professional development opportunities ⢠Collaborative work environment ⢠Work with cutting-edge technologies ⢠Opportunity to work in AI
Apply Nowđ April 8
Staff/Principal Machine Learning Engineer at Inworld developing real-time multimodal models for top AI solutions. Join a collaborative team focused on shaping impactful AI technologies in Switzerland.
đ¨đ Switzerland â Remote
đ° $50M Series A on 2022-08
â° Full Time
đ´ Lead
đ¤ Machine Learning Engineer
Distributed Systems
Kubernetes
Node.js
Python
Ray
Rust