Lead Mortgage Industry NLP Model Developer

6 days ago

Bengaluru, Karnataka, India beBeeDataScientist Full time

Overview:

We are seeking a seasoned data scientist to lead our mortgage industry initiatives. As a senior consultant, you will play a pivotal role in developing and implementing cutting-edge NLP models, driving innovation through experimentation, and ensuring responsible AI practices.

About the Role:

This is an exceptional opportunity for a highly skilled professional to drive meaningful impact in the mortgage industry. You will be working closely with domain experts to integrate industry knowledge into model development, leveraging your expertise in machine learning, deep learning, and NLP to deliver actionable insights.

Your Key Responsibilities:

  • Data Analysis and Preprocessing: Analyze and preprocess diverse datasets relevant to the mortgage industry, ensuring data quality and relevance for model training.
  • Model Development and Fine-Tuning: Research and implement state-of-the-art NLP models, focusing on pre-training as well instruction tuning pre-trained LLMs for mortgage-specific applications.
  • Algorithm Implementation: Develop and optimize machine learning algorithms to enhance model performance, accuracy, and efficiency.
  • Cross-Functional Collaboration: Work with domain experts to incorporate industry knowledge into model development, ensuring outputs are relevant and actionable.
  • Experimentation: Conduct experiments to validate model hypotheses, analyze results, and iterate on model improvements.
  • Ethics and Bias Mitigation: Ensure responsible AI practices are followed by identifying potential biases in data and models, implementing strategies to mitigate them.

Your Skills and Qualifications:

  • Technical Expertise: Strong background in machine learning, deep learning, and NLP. Proficiency in Python and experience with ML frameworks such as TensorFlow or PyTorch.
  • NLP Knowledge: Experience with NLP frameworks and libraries (e.g., Hugging Face Transformers) for developing language models.
  • Data Handling: Proficiency in handling large datasets, feature engineering, and statistical analysis.
  • Problem Solving: Strong analytical skills with the ability to solve complex problems using data-driven approaches.
  • Communication: Excellent communication skills to effectively collaborate with technical teams and non-technical stakeholders.

Preferred Qualifications:

  • Educational Background: Masters or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
  • Cloud Computing: Familiarity with cloud platforms (e.g., AWS, Azure) for scalable computing solutions.
  • Ethics Awareness: Understanding of ethical considerations in AI development, including bias detection and mitigation.

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