AI Data Analyst

As an intern at NineBit Computing in Indore, you will be part of a fast-growing AI startup ranked All India Rank 5 in a national AI/ML innovation challenge. Your role will involve working at the intersection of Python, Machine Learning, and LLM applications, focusing on data precision, clustering, and model evaluation. Key Responsibilities: - Contribute to the development and deployment of LLM-based applications on cloud infrastructure - Perform data preparation for supervised and unsupervised ML tasks - Apply clustering and dimensionality reduction techniques like K-Means, HDBSCAN, UMAP - Evaluate model performance using precision, recall, F1-score, etc. - Collaborate with the AI engineering team on production-ready features Qualifications: - Ideal candidates are 2026 graduates with a Bachelor of Engineering in Computer Science, Data Science, Statistics, or a related discipline - Strong foundation in Python programming, with experience in data manipulation libraries (NumPy, Pandas, etc.) - Familiarity with machine learning concepts especially supervised/unsupervised learning and clustering techniques (Note: Additional details about the company were not included in the provided job description.) As an intern at NineBit Computing in Indore, you will be part of a fast-growing AI startup ranked All India Rank 5 in a national AI/ML innovation challenge. Your role will involve working at the intersection of Python, Machine Learning, and LLM applications, focusing on data precision, clustering, and model evaluation. Key Responsibilities: - Contribute to the development and deployment of LLM-based applications on cloud infrastructure - Perform data preparation for supervised and unsupervised ML tasks - Apply clustering and dimensionality reduction techniques like K-Means, HDBSCAN, UMAP - Evaluate model performance using precision, recall, F1-score, etc. - Collaborate with the AI engineering team on production-ready features Qualifications: - Ideal candidates are 2026 graduates with a Bachelor of Engineering in Computer Science, Data Science, Statistics, or a related discipline - Strong foundation in Python programming, with experience in data manipulation libraries (NumPy, Pandas, etc.) - Familiarity with machine learning concepts especially supervised/unsupervised learning and clustering techniques (Note: Additional details about the company were not included in the provided job description.)