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Niche LLM/RLHF skills lower density, but metro location and established employer increase competition.
ML/LLM skills transfer across industries, but mortgage-specific domain knowledge increases role specificity.
Requires specialized LLM/NLP skills, ML frameworks, and advanced degrees, so screening will be stringent.
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Lead development and fine-tuning of NLP models specific to the mortgage industry, including pre-training and instruction tuning of large language models (LLMs).
Design and optimize machine learning algorithms to improve model accuracy, performance, and efficiency using state-of-the-art techniques such as RLHF.
Collaborate with domain experts and maintain comprehensive documentation of methodologies and experiments ensuring responsible AI practices including bias mitigation.
Strong expertise in machine learning, deep learning, and NLP with proficiency in Python and ML frameworks like TensorFlow or PyTorch.
Experience with NLP frameworks/libraries such as Hugging Face Transformers for language model development.
Work Experience Required: Not explicitly mentioned in the JD
Educational Qualification: Preferably Master's or Ph.D. in Data Science, Computer Science, Statistics, or related field.
Experience applying NLP and AI techniques within domain-specific contexts, ideally mortgage or financial services.
Able to implement advanced techniques like Reinforcement Learning from Human Feedback (RLHF) and optimize open-source model architectures.
Skilled in working closely with domain experts and cross-functional teams to produce actionable AI solutions aligned to business needs.