1 month ago
Singapore, SingaporeMid Level
Responsibilities
- Build and operate the ML infrastructure and platforms powering A1’s AI products.
- Design systems for model training, evaluation, deployment, inference, and experimentation.
- Build and optimize model-serving and inference infrastructure for high-throughput and low-latency workloads.
- Develop reliable pipelines for data preparation, training, evaluation, model release, and continuous improvement.
- Build tooling and platforms that enable AI engineers and researchers to experiment, evaluate, and ship models faster.
- Develop evaluation and benchmarking infrastructure to measure model quality, performance, and regressions.
- Build production observability, monitoring, tracing, and alerting for AI/ML workloads.
- Improve reliability, scalability, latency, throughput, and cost efficiency across the ML stack.
- Work with AI engineers, researchers, and product teams to turn model requirements into production-ready infrastructure.
Requirements
- Strong software engineering fundamentals and experience building production systems.
- Experience building ML infrastructure, platforms, or production machine learning systems.
- Experience with model deployment, inference, evaluation, or data pipelines.
- Strong understanding of distributed systems and system reliability.
- Ability to write clean, maintainable, production-quality code.
- Comfort working in ambiguous, fast-moving environments with ownership, experimentation, 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.