5 months ago
Singapore, SingaporeMid Level
Responsibilities
- Build and ship end-to-end AI features from models through systems to user experience.
- Design and iterate on prompts, tools, memory, and agent workflows.
- Transform raw model outputs into structured, reliable, and predictable behaviors.
- Debug issues across models, orchestration, infrastructure, and user experience.
- Optimize AI systems for latency, cost, and production reliability.
- Develop lightweight evaluation frameworks and use real-world signals to drive measurable improvements.
- Build robust, reproducible, and maintainable data pipelines, training loops, and inference systems.
- Collaborate with product, engineering, and research teams to deliver reliable ML-powered features.
Requirements
- Strong foundation in machine learning and modern neural network architectures.
- Hands-on experience training, fine-tuning, or deploying ML models.
- Ability to write clean, production-quality code.
- Comfort working across model, infrastructure, and product abstraction layers.
- Strong problem-solving skills in ambiguous, fast-moving environments.
- Ability to work independently, iterate quickly, and focus on shipping and continuous improvement.
Categories
About Bjak
Bjak builds an online insurance marketplace for consumers in Malaysia and Southeast Asia, enabling comparison and purchase of car, health, life, and travel policies. Its business model is aggregator-based, earning commissions and fees from insurers and partners while streamlining digital applications and renewals. Founded in 2019 and headquartered in Selangor, it is privately held and is expanding from insurance comparison into broader fintech services via a planned finance super app.