Job Summary

- Job Title: Associate Director- Data Scientist

- Grade: D

- Department: Digital Services

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 instructiontuning pre-trained LLMs for mortgage-specific applications.Utilize techniques like RLHF to improve model alignment with human preferences and enhance decision-making capabilities.

- Algorithm Implementation: Develop and optimize machine learning algorithms to enhance model performance, accuracy, and efficiency. Experiment with different architectures and open-source models to identify the best fit for project requirements.

- 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.

- Documentation: Maintain comprehensive documentation of methodologies, experiments, and results to support transparency and reproducibility.

- Ethics and Bias Mitigation: Ensure responsible AI practices are followed by identifying potential biases in data and models,



implementing strategies to mitigate them.

Required Skills

- 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: Solid 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: Master s 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Manager- AI Delivery (Mumbai)
🏢 Firstsource
📍 Mumbai