Technical Lead, Machine Learning
Tasks
- Adapt models with efficient fine tuning
- Build data pipelines
- Debug and resolve production ML issues
- Deploy production ML systems
- Design inference architecture
- Develop evaluation pipelines
- Fine-tune large language models
- Implement safety and bias evaluation
- Improve latency and memory efficiency
- Integrate ML systems with backend and client products
- Maintain scalable inference services
- Optimize GPU training and inference
- Own ML system execution
- Run training workflows
Perks/Benefits
- N/A
Skills/Tech-stack
Bias Evaluation | DPO | GPU Optimization | Inference Optimization | JAX | Knowledge Distillation | Latency optimization | Learning evaluation | LoRA | Machine Learning | Machine learning evaluation | Memory efficiency | Model Deployment | Performance Tuning | PyTorch | Python | Q LoRA | SFT | Safety evaluation
Education
N/A
Related jobs
-
Senior-level Full TimeSeoul, Korea R2d ago
-
Bias Mitigation | DPO | Data Pipelines | GPU Optimization | Inference architectureSenior-level Full TimeSeoul, Korea R2d ago
-
Computer Vision Engineer (Autonomous Driving) KRW 31000K-31000K3D Reconstruction | C++ | CUDA | Cloud Computing | Cloud processingSenior-level Full TimePangyo (Software Dream Center), South Korea R3d ago
-
Alerting | Data Pipelines | Distributed Systems | GPU infrastructure | InferenceMid-level Full TimeSeoul, Korea R6d ago
-
API Integration | Agentic Workflows | Context engineering | Distributed Systems | EvaluationMid-level Full TimeSeoul, Korea R6d ago