AI/ML Intern

We are seeking a forward-thinking AI/ML Intern with experience in modern AI systems. You'll collaborate with our AI engineers & data scientists to develop and implement state-of-the-art models that solve complex financial challenges in fintech/banking/proptech sectors. Responsibilities: Collect, clean, and prepare datasets for model training and testing Develop and fine-tune large language models (LLMs) for financial text processing applications Create prompt engineering solutions for extracting structured information from financial documents Support the implementation of AI/ML algorithms for improved risk/financial decisions Assist in developing and optimizing machine learning models for financial applications Help analyze model performance and contribute to improvements Collaborate with cross-functional teams to understand business requirements Document processes, methodologies, and results Requirements: Minimum of 3 years completed in an undergraduate program in Engineering, Mathematics, CS, AI or related program from top university or college Strong foundation in machine learning fundamentals Proficiency in Python and deep learning frameworks (PyTorch or TensorFlow) Hands-on experience with at least one LLM-based project (e.g., fine-tuning, prompt engineering) Understanding of NLP techniques for text classification, sentiment analysis, or information extraction Familiarity with AI model deployment and serving infrastructures Excellent problem-solving skills and attention to detail

Fincepta provides 'intelligence & efficiency' solutions in the Financial services space. Fincepta delivers intelligence by building frameworks, risk strategies & ML models to optimize decisions for its fintech, banking & proptech clients. It delivers efficiency by building custom AI agents, workflow automations & data engineering/ analytics projects to streamline processes. Fincepta has also developed a cash flow underwriting product - CFIL, which enables banks/ credit issuing companies by transforming their raw Customer Cash Flow Data into powerful intelligence to help them optimize Underwriting and push their Credit Risk Frontier. The key differentiators for this product are Fincepta's intense focus on risk use cases, the gaps it has filled based on their industry experience and its offering as a customized solution vs. a generalized product. Ankit, before starting Fincepta, led and scaled data science, risk & operations teams for US-based fintech & proptech startups. Prior to that, he built heavily regulated models, strategies & quant products for credit cards, investments & wealth management at BofA & Merrill Lynch for a decade.