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Mortgage Industry Lead

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At the forefront of data-driven innovation, we seek a seasoned expert to spearhead our mortgage industry initiatives.

This role requires an accomplished leader with a strong background in machine learning and deep learning, as well as proficiency in Python and experience with TensorFlow or PyTorch. The ideal candidate will be well-versed in developing language models using NLP frameworks like Transformers and possess expertise in handling large datasets, feature engineering, and statistical analysis.

A successful Data Science Associate Director will have a Ph.D. in Data Science, Computer Science, Statistics, or a related field and exhibit excellent communication skills to collaborate effectively with technical teams and non-technical stakeholders. Additionally, they will demonstrate a solid understanding of cloud computing platforms such as AWS or Azure for scalable computing and ethical considerations in AI development, including bias mitigation.

The selected individual will focus on pre-training and fine-tuning pre-trained LLMs for mortgage-specific applications, ensuring high-quality and relevant data for model training. Furthermore, they will develop and optimize machine learning algorithms to enhance model performance, accuracy, and efficiency while identifying potential biases in data and models and implementing strategies to mitigate them.