AI/ML Researcher

Batch: 2023/2024/2025/2026. Ideal Candidate Profile: - Strong foundation in mathematics, statistics, probability, linear algebra, optimization, and machine learning. - Strong programming skills in Python. - Ability to work with large datasets, run experiments, and interpret results rigorously. - Strong analytical and problem-solving ability. - Comfort with ambiguity, open-ended problems, and iterative research. - Ability to independently structure problems and drive them to conclusion. - Curiosity to learn new domains, ask thoughtful questions, and challenge assumptions. - Strong communication skills to explain research outcomes clearly. Preferred Skills: - Python, NumPy, Pandas, Scikit-learn - Machine learning, deep learning, and time-series modelling - Probability, statistics, and optimization - LLMs, neural networks, model fine-tuning, and benchmarking - Research-oriented problem solving - Experience with Kaggle, research projects, trading datasets, ML competitions, or large-scale data problems - Prior exposure to financial markets, quantitative research, or market microstructure is a plus, but not mandatory