Director - Solution Architect

About Firstsource

Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes.

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.
  
  

• Technical Expertise: Strong background in machine learning, LLM fine tuning, 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.
  
  

• 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.