Artificial Intelligence (AI)

About the internship Key responsibilities: 1. Develop, train, and optimize machine learning and deep learning models for text processing and financial data analysis 2. Work on Natural Language Processing (NLP) tasks such as text extraction, summarization, and sentiment analysis 3. Implement classification, clustering, and recommendation algorithms to improve the user experience 4. Enhance FinDocGPT's support for regional languages through AI-driven translation and contextual understanding 5. Collaborate on fine-tuning Large Language Models (LLMs) for financial use cases 6. Analyze structured and unstructured financial data to derive actionable insights 7. Evaluate model performance and implement improvements for scalability and efficiency Who can apply Only those candidates can apply who: 1. are available for full time (in-office) internship 2. can start the internship between 23rd Jan'25 and 27th Feb'25 3. are available for duration of 6 months 4. have relevant skills and interests Who are we? We are a team of machine learning experts, data science, finance, and software development enthusiasts. What are we building? We are building a fintech solution using the power of AI that can involve using machine learning algorithms to analyze financial data and make predictions or automate tasks. Some examples of our fintech applications of AI include: 1. Credit risk analysis: Using historical data on expenses to train machine learning models that can predict the likelihood of a borrower defaulting 2. Fraud detection: Analyzing patterns in financial transactions to identify suspicious activity and detect potential fraud 3. Investment management: Using AI to analyze market data and make predictions about future stock prices, helping investors make more informed investment decisions 4. Personal financial management: Using natural language processing to help users manage their finances by analyzing their spending habits and suggesting ways to save money