Associate Director Data Science

Role Overview: As an Associate Director Data Science at Firstsource, you will be responsible for developing and optimizing advanced machine learning algorithms, with a focus on natural language processing. Your role will involve data analysis, model development, and collaboration with cross-functional teams to ensure industry-specific solutions are ethically sound and meet client needs. Key Responsibilities: - Data Analysis and Preprocessing: - Analyze and preprocess diverse datasets related 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, with a focus on pre-training and instruction tuning for domain-specific applications. Utilize techniques like RLHF to enhance model alignment with human preferences. - Algorithm Implementation: - Develop and optimize machine learning algorithms to improve model performance, accuracy, and efficiency. Experiment with different architectures to find the best fit for project requirements. - Collaboration: - Work with domain experts to integrate industry knowledge into model development, ensuring outputs are actionable and relevant. - Experimentation: - Conduct experiments to validate model hypotheses, analyze results, and iterate on model improvements. - Documentation: - Maintain detailed documentation of methodologies, experiments, and results to ensure transparency and reproducibility. - Ethics and Bias Mitigation: - Identify potential biases in data and models, implement mitigation strategies, and uphold responsible AI practices. Qualifications Required: Must-Have: - Strong background in machine learning, deep learning, and NLP. - Proficiency in Python and experience with ML frameworks like TensorFlow or PyTorch. - Experience with NLP frameworks and libraries (e.g., Hugging Face Transformers). - Hands-on experience in fine-tuning large language models (LLMs) for domain-specific tasks. - Proficiency in handling large datasets, feature engineering, and statistical analysis. - Strong analytical skills for solving complex problems using data-driven approaches. - Excellent communication skills for effective collaboration with technical and non-technical stakeholders. Nice-to-Have: - Masters or Ph.D. in Data Science, Computer Science, Statistics, or a related field. - Familiarity with cloud platforms (e.g., AWS, Azure) for scalable computing solutions. - Understanding of ethical considerations in AI development, including bias detection and mitigation. (Note: Additional details about the company were not provided in the job description.),