about 4 hours ago
Seoul, Korea, SouthSenior
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, low-latency workloads.
- Develop reliable pipelines for data preparation, training, evaluation, model release, and continuous improvement.
- Build tooling that enables AI engineers and researchers to experiment, evaluate, and ship models faster.
- Develop evaluation and benchmarking infrastructure to measure model quality, performance, and regressions.
- Build observability, monitoring, tracing, and alerting for AI/ML workloads.
- Improve AI system reliability, scalability, latency, throughput, and cost efficiency.
- Identify bottlenecks across the ML stack and continuously improve system performance.
- Collaborate with AI engineers, researchers, and product teams to create 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.
- Ownership, experimentation, and continuous improvement orientation.
About Bjak
Our mission is to develop technology based solutions to improve financial inclusion. We develop new & innovative platforms & services globally. For example, we are the first platform to simplify and digitise comprehensive life and medical insurance, supported by AI agent. BJAK is the largest insurance platform in Southeast Asia. If you enjoy building cutting edge platform-ecosystems that gives equal access to financial services to everyone at scale, join us.