3 months ago
Zürich, SwitzerlandMid Level
Responsibilities
- Build and improve ML components across data, training, evaluation, and inference.
- Fine-tune and adapt models within larger production systems.
- Implement evaluation and testing to understand model behavior.
- Build and maintain data pipelines for real-world and synthetic data.
- Debug model issues, performance problems, and production incidents.
- Ship iterative improvements based on real user feedback and measurable signals.
- Collaborate with ML engineers, product teams, engineers, and research teams.
- Operate under production constraints including latency, cost, reliability, and safety.
Requirements
- Strong foundations in machine learning and modern neural architectures.
- Some hands-on experience training, fine-tuning, or deploying machine-learning models.
- Ability to write production-quality code and learn new tools quickly.
- Ability to work through ambiguity with guidance and grow ownership over time.
Categories
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.