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Tier-1 backed remote internship targeting top students, making applicant competition very high.
High domain specificity; requires CS, ML, or data-engineering background, limiting cross-industry transferability.
Requires 8.0+ GPA, final-year status, and strong ML/coding skills, so screening is highly selective.
6-month remote internship focused on applying machine learning and data engineering to build scalable enterprise solutions.
AI Resident works on designing, implementing, and optimizing deep learning models, including autonomous driving perception and control, NLP, and LLM fine-tuning.
Data Resident conducts analysis on large data sets, builds data pipelines, and solves complex non-routine problems using advanced analytical methods.
Final year undergraduate students in Computer Science or related fields graduating by June next year.
Strong coding skills with experience in Python; familiarity with SQL and programming frameworks like PyTorch, TensorFlow, or Keras.
GPA of 8.0 or above; top rankers in JEE Advanced and consistent academic performance preferred.
Work Experience Required: Not explicitly mentioned in the JD. Internship is full-time during summer and 20-30 hours/week during semester; role is fully remote.
Strong interest and knowledge in machine learning, NLP areas (Generative AI, NLU, NLG, representation learning) and/or systems programming, data engineering, and data processing frameworks.
Ability to independently pick up tasks and deliver; experience with statistical methods and large-scale data handling is a plus.
Candidates from top universities with a consistent track record of high academic performance and coding proficiency are most likely to succeed.