Algorithm Engineer - Global E-Commerce (Conversational AI)
Tasks
- Apply LLM post training and continual learning
- Build automated dispute resolution and policy adaptive models
- Construct training datasets for customer service interactions
- Define response evaluation metrics and run A B testing
- Develop AI seller assistance tools for order and dispute management
- Develop conversational AI customer support systems
- Develop multilingual customer support and translation models
- Optimize large scale model deployment and edge inference
- Optimize model efficiency and inference for low latency
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | Continual Learning | Dataset Construction | Efficient Inference | Human Feedback | Instruction Tuning | Language Models | Language Processing | Large Language Models | Learning from Human Feedback | Machine Learning | Model Compression | Multilingual NLP | Natural Language | Natural Language Processing | Quantization | Reinforcement Learning | Reinforcement Learning from Human Feedback | Translation models
Education
N/A
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