2 months ago
Berlin, GermanyEntry Level
Responsibilities
- Build and improve machine learning 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 while meeting latency, cost, reliability, safety, accuracy, and maintainability targets.
- Collaborate with senior machine learning engineers, product teams, engineering teams, and research teams.
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.
- Willingness to work through ambiguity with guidance and grow ownership over time.
- Ability to prioritize shipping, iteration, and continuous improvement.
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.