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AI/ML/DL Computer Vision Intern

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We are seeking a passionate and innovative AI/ML/DL Intern (Computer Vision) to join our technical team. The intern will work on real-world projects involving image and video analysis, object detection, facial recognition, and deep learning model development. This internship offers hands-on experience in cutting-edge technologies and practical exposure to AI-driven applications.

Responsibilities:

  • Assist in designing, training, and optimizing deep learning models for computer vision tasks (e.g., object detection, segmentation, classification).
  • Work with large image and video datasets — preprocessing, augmentation, and annotation.
  • Implement and experiment with state-of-the-art architectures using frameworks like TensorFlow, PyTorch, or OpenCV.
  • Collaborate with data scientists and engineers to deploy models in real-world scenarios.
  • Evaluate model performance using metrics such as precision, recall, F1-score, and accuracy.
  • Research recent advancements in AI/ML and propose innovative solutions.
  • Document project progress, results, and technical approaches.

Requirements:

  • Strong understanding of Machine Learning, Deep Learning, and Computer Vision fundamentals.
  • Familiarity with frameworks such as TensorFlow, PyTorch, Keras, and OpenCV.
  • Programming experience in Python.
  • Knowledge of neural network architectures like CNNs, RNNs, or Transformers.
  • Experience with dataset handling, image processing, and model evaluation.
  • Currently pursuing or recently completed a degree in Computer Science, AI/ML, Data Science, or a related field.

Preferred Skills (Optional):

  • Experience with cloud platforms (AWS, Google Cloud, Azure).
  • Exposure to edge AI or model deployment tools (TensorRT, ONNX, etc.).
  • Knowledge of NLP or multimodal learning.

Benefits:

  • Hands-on experience working with real-world AI/ML projects.
  • Mentorship from experienced professionals in the AI domain.
  • Internship certificate on successful completion.
  • Potential opportunity for full-time placement based on performance.

Job Types: Full-time, Part-time, Fresher, Internship, Freelance
Contract length: 3 months

Pay: ₹3,000.00 - ₹6,000.00 per year

Expected hours: 56 per week

Benefits:

  • Flexible schedule
  • Paid sick time
  • Work from home

Work Location: Remote

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