Senior Data Scientist (LLM Post-Training)
Tasks
- Augment training data
- Build multi modal processing models
- Collaborate with business and product teams for planning
- Collect clean label training data
- Conduct low resource training
- Create technical documentation prototypes and demos
- Deploy LLM applications
- Design AI agent behavior
- Develop multi lingual models
- Develop reasoning systems
- Evaluate model performance
- Generate synthetic data
- Implement LLM distillation
- Implement LLM fine-tuning
- Integrate LLM systems for customer support
- Integrate LLM systems for internal productivity
- Integrate LLM systems for personalization
- Integrate LLM systems for risk control
Perks/Benefits
- Birthday leave
- Confidential Assistance Programme
- FlexWork
- Medical insurance
- Parental leave
- Term life insurance
- Volunteering leave
Skills/Tech-stack
Data Augmentation | Data Deployment | Data Generation | Data cleaning | Data labeling | Deep learning | Direct Preference Optimization | Fine Tuning | Language Models | Large Language Models | Low-resource training | Machine Learning | Model Evaluation | Preference optimization | PyTorch | Python | Resource training | Supervised Fine Tuning | Synthetic Data Generation | Synthetic data | TensorFlow
Education
Master of Engineering | Master of Science | Master of Science in Artificial Intelligence | Master of Science in Computer Science
Roles
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