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Popular ML/Computer Vision internship in Bangalore with strong applicant pool and recognizable employer increases competition.
Core ML and computer vision skills transfer across industries, though automotive camera/radar specifics add domain sensitivity.
Requires specific ML/CV skills, PyTorch, and degree enrollment but no explicit years, so moderately strict.
Develop and deploy production-ready in-cabin camera and radar AI/ML features focused on driver and passenger safety.
Analyze datasets, benchmark model performance, and build proof-of-concept systems using deep learning and classical algorithms.
Work in an automotive product development environment handling data, models, and evaluation pipelines.
Currently pursuing or finishing Bachelor’s, Master’s, or PhD in CS, ECE, EE, or related field from a reputed institution.
Strong programming skills in Python; familiarity with PyTorch and data science libraries.
Strong conceptual understanding of deep learning and signal processing or computer vision.
Internship duration of 6 months, fully onsite in Bangalore.
Has prior internship experience and/or research publications related to AI/ML or computer vision.
Capable of working on AI/ML solutions in a real-world automotive production environment.
Demonstrates ability to independently analyze data and develop novel AI/ML proof-of-concept demonstrations.