To excel in this role, you should be proficient in the following:
Programming Languages: Expert knowledge of Python for image processing and model development.
CV Libraries: Hands-on experience with OpenCV, Pillow, and Scikit-image.
Deep Learning Frameworks: Proficiency in TensorFlow, PyTorch, or Keras for training convolutional neural networks (CNNs).
Architectures: Familiarity with YOLO, ResNet, and Transformer-based vision models.
AI Integration: Utilizing OpenAI APIs for multi-modal tasks and visual reasoning.
System Development: Building and deploying advanced recognition systems for object detection, segmentation, and classification.
Video Analytics: Developing real-time processing pipelines for video stream analysis and behavioral recognition.
Model Training: Managing the end-to-end lifecycle of vision models, from data labeling to rigorous performance evaluation.
Optimization: Enhancing model efficiency for high-performance deployment on both cloud and edge platforms.
Responsible AI: Ensuring all visual intelligence systems adhere to the highest standards of privacy and AI Ethics.
Interns & Freshers: Graduates with a solid project portfolio in image processing and a strong grip on Python.
Experienced Engineers: Professionals with a background in machine learning or robotics looking to specialize in Visual Intelligence.
Education: Open to candidates who have completed 10th, 12th, Graduation or post graduation .
Mindset: We look for individuals with a strong commitment to real-world problem solving and daily learning.
Location: Based in Bengaluru, Karnataka, India (In-office) to provide structured mentoring and guidance.
Cost: This is a 100% Free of Cost training and entry-level initiative.
Selection Rule: Selection is based on merit, preparedness, and interview performance. Availability of opportunities may vary each year.
WhatsApp
