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- Advanced degree in mathematics, physics, computer science, engineering, statistics, or an equivalent
- technical discipline.
- Minimum of three years’ experience in developing machine learning models with a track record of creating meaningful business impact and working with multiple stakeholders.
- Minimum of five years’ experience with Python.
- Minimum of three years’ experience building production NLP and deep learning models using PyTorch/Tensorflow, along with using large language model architectures (BERT, GPT-3 etc.)
- Experience building advanced workflows such as retrieval augmented generation, model chaining, dynamic prompting, PEFT/SFT, etc. using Lang chain and similar tools
- Experience establishing model guardrails and developing bias detection and mitigation techniques for AI Applications
- Proficiency with various prompting techniques, with a clear understanding of tradeoffs between prompting and finetuning
- Experience with finetuning embedding models and tuning vector databases to improve performance of semantic search and retrieval systems
- Deep understanding of underlying fundamentals such as Transformers, Self-Attention mechanisms that form the theoretical foundation of LLMs
- Experience with cloud computing platforms and tools (AWS).
- Experience operationalizing end-to-end machine learning applications.
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