AI Engineer (Navigation Agent)
KRW 30880K-30880K (estimate) Senior-level Full Time
Tasks
- Analyze failure cases
- Apply preference optimization
- Build supervised fine tuning
- Build training and evaluation datasets
- Collaborate with cross-functional teams to deploy models
- Design model performance metrics
- Design post training optimization
- Develop navigation agent model
- Develop traditional machine learning models
- Generate response and actions
- Implement instruction tuning
- Improve data quality
- Optimize model accuracy
- Optimize model stability
- Optimize response latency
- Perform LLM fine-tuning
- Select tools and APIs
Perks/Benefits
- N/A
Skills/Tech-stack
Classification | Data Quality | Dataset Construction | Deep learning | Distributed Training | ETA Prediction | Fine Tuning | Function Calling | GPU Distributed Training | Instruction Tuning | LLM Fine-tuning | Language Models | Language Processing | Large Language Models | Location Data | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Navigation | Prediction | Preference optimization | PyTorch | Ranking | Recommendation Systems | Supervised Fine Tuning | Tool use | Training Pipeline
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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