ZycusFound on the web

Posted 3d ago

Computer Vision AI Internship

Pay

Stipend (undisclosed)

Location

Bangalore, India

Hybrid

Type

Internship

Apply by

16 Oct

7 days left

Skills this role screens for

pythonpytorchtensorflowimage recognitiondigital signal processing (dsp)internship

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Responsibilities

What you'll do

  • Build and improve models for bird identification from images.
  • Explore computer vision techniques for real-world bird photographs.
  • Work on bird-call and bird-song identification using audio ML techniques.
  • Experiment with approaches such as spectrogram-based classification, audio embeddings, multimodal models, and foundation models.
  • Evaluate existing open-source models and datasets (e.g., BirdNET).
  • Create experiments, benchmark model accuracy, and identify ways to improve performance.
  • Potentially contribute to production features within the Ataavi birding app.

Requirements

What they're looking for

  • Strong interest in Computer Vision, Machine Learning, or Deep Learning.
  • Hands-on experience with Python.
  • Experience with PyTorch or TensorFlow.
  • Experience with image classification, object detection, embeddings, transformers, or related techniques.
  • Completed a meaningful research project, paper, internship, or independent project in computer vision/ML.
  • Ability to read research papers and turn ideas into working experiments.

Nice to have

What would help

  • Some exposure to audio/signal processing or audio classification.
Full description from the employer

Zycus is hiring for the role of Computer Vision AI Intern! Responsibilities of the Intern: • Build and improve models for bird identification from images. • Explore computer vision techniques for challenging real-world bird photographs — different angles, backgrounds, lighting conditions, partially visible birds, etc. • Work on bird-call and bird-song identification using audio ML techniques. • Experiment with approaches such as spectrogram-based classification, audio embeddings, multimodal models and foundation models. • Evaluate existing open-source models and datasets, including approaches similar to BirdNET and other biodiversity AI systems. • Create experiments, benchmark model accuracy and identify ways to improve performance. • Potentially contribute to production features within the Ataavi birding app Requirements: • Strong interest in Computer Vision, Machine Learning or Deep Learning. • Hands-on experience with Python and frameworks such as PyTorch or TensorFlow. • Experience working with image classification, object detection, embeddings, transformers or related techniques. • Some exposure to audio/signal processing or audio classification would be an advantage. • Completed a meaningful research project, paper, internship or independent project in computer vision/ML. • Ability to read research papers and turn ideas into working experiments.

Zycus

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