3 months ago
Germany (city not specified)Senior
Responsibilities
- Build and operate ML infrastructure and platforms for A1’s AI products.
- Design systems for model training, evaluation, deployment, inference, and experimentation.
- Build and optimize high-throughput, low-latency model-serving and inference infrastructure.
- Develop pipelines for data preparation, training, evaluation, model release, and continuous improvement.
- Create tooling and platforms that help AI engineers and researchers experiment, evaluate, and ship models faster.
- Develop evaluation and benchmarking infrastructure to measure model quality, performance, and regressions.
- Implement observability, monitoring, tracing, and alerting for AI/ML workloads.
- Improve the reliability, scalability, latency, throughput, and cost efficiency of AI systems.
- Identify ML-stack bottlenecks and work with AI engineers, researchers, and product teams to deliver 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
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.