Computer Vision Intern

Job ID

CVI282501

Role

Computer Vision Intern

Location

Hyderabad

Experience

0 to 1 Year

Profile

We are looking for a passionate and driven Computer Vision Intern to join our AI research and development team. You will work on building intelligent systems using computer vision techniques and have the opportunity to explore cutting-edge technologies like Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Generative AI. This role is ideal for someone excited about bridging vision and language technologies to build next-gen AI applications.

Requirements

  • Currently pursuing or recently completed a degree in Computer Science, AI, Data Science, or related fields.
  • Strong understanding of deep learning fundamentals and computer vision techniques.
  • Academic exposure and project-based experience with Python and libraries such as OpenCV, NumPy, TensorFlow or PyTorch.
  • Familiarity with LLMs (e.g., GPT, BERT), RAG architecture, agentic frameworks or Generative AI tools is a strong plus.
  • Good problem-solving skills, curiosity, and willingness to learn new technologies.

Responsibilities

  • Assist in developing and optimizing computer vision models for tasks such as object detection, tracking, segmentation and image classification.
  • Work with annotated datasets, data preprocessing, and augmentation for vision pipelines.
  • Contribute to integrating vision models with LLM-based architectures for multimodal use cases.
  • Support the design and prototyping of RAG-based workflows combining vision data with large language models.
  • Explore Generative AI approaches for synthetic data generation and enhancement.
  • Conduct research, benchmarking, and experiments using popular frameworks like OpenCV, PyTorch, TensorFlow, or similar.

Join the awesome squad. Apply now!

    More about us

    TensorGo Software is a low code PaaS company specializing in deep learning products. Our platform simplifies building complex ML/DL applications with integrated APIs and custom neural networks, solving global challenges and shaping a smarter future.

    About Us
    Deepika Agarwal

    Senior Manager