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16 Weeks ago

AI Engineer

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Noida, Uttar Pradesh, India
Information Technology
Full-Time
Ombrulla

Overview

We are looking for a talented and motivated Computer Vision AI Engineer with 0 to 2 years of experience to join our team. As a Computer Vision AI Engineer, you will play a crucial role in developing and implementing computer vision solutions for a range of applications, from image and video analysis to object detection and recognition.

Key Responsibilities:

  • Design, develop, and implement computer vision algorithms and models to solve real-world problems.
  • Collect and preprocess image and video data for training and testing purposes.
  • Train, fine-tune, and evaluate deep learning models for computer vision tasks using frameworks like TensorFlow or PyTorch.
  • Work on projects related to object detection, image classification, semantic segmentation, and facial recognition.
  • Optimise and deploy AI models for real-time and production environments.
  • Research and experiment with the latest AI development and technologies.
  • Conduct code reviews, document your work, and ensure code quality and best practices.
  • Assist in troubleshooting and debugging issues as they arise.

Qualification

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 0 to 2 years of hands-on experience in computer vision and AI.
  • Strong programming skills in languages such as Python, C++, or Java.
  • Proficiency with deep learning frameworks like TensorFlow, PyTorch, or Keras.
  • Familiarity with computer vision libraries and tools (e.g., OpenCV).
  • Knowledge of image and video processing techniques.
  • Experience with training and deploying machine learning models.
  • Experience with GPU computing and parallel processing for deep learning.
  • Familiarity with cloud-based AI/ML platforms and services.
  • Understanding of 3D computer vision or point cloud processing.

Job Type: Full-time

Pay: ₹10,000.00 - ₹25,000.00 per month

Schedule:

  • Day shift
  • Monday to Friday

Work Location: In person

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