Principal Machine Learning Engineer
BjakInsurance Comparison company
Seoul, South KoreaLead
BASS Investment
Data & AI
About the role
TL;DR
Build and own end-to-end ML pipelines for production-grade ML systems.
- •Our mission is to build a proactive smart assistant for everyday users to bring intelligence to conversations, errands, organising and workflows, with minimal prompting.
- •Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion.
- •Key Responsibilities Build and own end-to-end ML pipelines spanning data, training, evaluation, inference, and deployment.
- •Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation.
- •Architect and operate scalable inference systems, balancing latency, cost, and reliability.
- •Requirements Strong background in deep learning and transformer-based architectures.
- •Hands-on experience training, fine-tuning, or deploying large-scale ML models in production.
- •Proficiency with at least one modern ML framework (e.g.
Required skills
PythonPyTorchJAXLLMsNLPComputer Vision
Nice-to-have skills
Spark
Domain expertise
aiproductivity
Tech stack
PythonPyTorchJAXSparkGitLinuxKubernetes