Principal Applied Scientist
Tasks
- Build agentic AI systems
- Build scalable AI/ML solutions
- Deploy deep learning models
- Design and deploy reinforcement learning solutions
- Develop generative AI models
- Evaluate agent behavior in production
- Implement retrieval-augmented generation
- Orchestrate multi-agent systems
- Pre train and fine tune large language models
- Research AI models
- Ship AI-powered products
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent Orchestration | Agentic AI | C++ | DPO | Deep learning | Distributed Training | Fine Tuning | Function Calling | Generative AI | Graph Neural Networks | JAX | Language Models | Language Processing | Large Language Models | LoRA | Machine Learning | Model Distillation | Multi-Agent | Multi-agent orchestration | Multitask Learning | NLP | Natural Language | Natural Language Processing | Neural Networks | PEFT | Planning | PyTorch | Python | RLHF | Reinforcement Learning | Retrieval-Augmented Generation | Supervised Fine Tuning | TensorFlow | Tool use | Transformer Architecture
Education
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