2 months ago
Stockholm, SwedenEntry 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.
- Meet accuracy, latency, reliability, cost, and safety targets for production ML systems.
- Collaborate with engineering, product, 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.
- Curiosity, coachability, and eagerness to learn from production systems.
- Ability to work through ambiguity with guidance and grow ownership over time.
- Bias toward shipping, iteration, and continuous improvement.
Benefits
- Real production ML work from day one.
- Collaboration with senior ML engineers, product, research, and engineering teams.
- Virtual and/or onsite interviews with a prompt decision process.
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.