Senior Principal Data Scientist (Fulfilment)
SGD 224K-252K (estimate) Executive-level Full Time
Tasks
- Build latent world models and state representations
- Create policy evaluation frameworks for safe deployment
- Design and implement reinforcement learning systems
- Design language model training strategies
- Fine-tune large language models on domain data
- Integrate RL and LLM systems into real time production environments
- Monitor deployed decision making policies
- Optimize pricing dispatch and supply repositioning policies
Perks/Benefits
- Birthday leave
- Flexible work arrangements
- Life insurance
- Medical insurance
- Parental leave
- Term life insurance
- Volunteering leave
Skills/Tech-stack
Decision Processes | DeepSpeed | Distributed Training | Dynamic Models | FSDP | Fine Tuning | Human Feedback | Language Models | Large Language Models | Latent Dynamic Models | Learning from Human Feedback | Markov Decision Processes | Megatron-LM | Offline Reinforcement Learning | Online Learning | Preference Based Alignment | PyTorch | Python | RNN | Rationale Reasoning | Ray | Reinforcement Learning | Reinforcement Learning from Human Feedback | Representation Learning | Reward Design | Simulation | Spark | State Space Models | State-Space | Stochastic Control | Supervised Fine Tuning | TensorFlow | Transformers | World Models
Education
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