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Strong investor-backed brand and remote internship increases applicant pool, but academic and GPA filters narrow candidates.
ML and data engineering skills are transferable across industries but require domain-specific ML/NLP expertise.
Strict academic (GPA, final-year), technical skills, and ML/coding framework requirements make shortlisting highly selective.
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6-month remote internship to work on scalable ML and data engineering solutions for enterprise productivity.
For AI Residents: Research, design, and deploy deep learning models especially in perception, control, and NLP; optimize models for efficiency.
For Data Residents: Analyze, transform and process large complex data sets; build and prototype scalable data analysis pipelines.
Currently enrolled final year undergraduate student in Computer Science or related field, graduating by June next year.
Minimum GPA of 8.0 or above required.
Strong coding skills with experience in Python and SQL; familiarity with ML frameworks (PyTorch, TensorFlow, Keras) for AI Residents.
Work Experience Required: Not explicitly mentioned in the JD.
Top academic performers (e.g., top rankers in JEE Advanced) with consistent high GPA.
Strong interest in either advanced ML/NLP domains (Generative AI, NLU, NLG, etc.) or data engineering, streaming databases, and data visualization.
Comfortable handling end-to-end tasks independently and eager to learn/practice real-world ML or data engineering applications in a startup environment.