Description
Build and scale generative AI applications and vertical foundational models for the wealth and insurance sectors.
Responsibilities
- Build NLP algorithms and LLMs, managing the end-to-end pipeline from data collection to performance evaluation.
- Improve AI copilot answer grounding, data lineage visualization, embedding models, and retrieval algorithms.
- Analyze model usage behavior to refine LLM alignment and instruction tuning processes.
- Conduct research into latest NLP and LLM advancements to enhance core AI capabilities.
Required Skills
- Strong understanding of Transformers and latest NLP developments.
- Hands-on experience with PyTorch, DeepSpeed, and HF Transformers.
- Experience with model training, evaluation, and MLOps in cloud environments.
- Proficiency in data scraping, cleaning, and processing.
- Bachelor's degree in Computer Science, Artificial Intelligence, or a related field.
- Strong CS fundamentals and problem-solving abilities.
- Ability to work independently and improve upon technical requirements.
Preferred Skills
- Master's degree in a relevant technical field.
- 2+ years of full-time professional experience.