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Computer Vision-Analytics Consultant

0 years

0 Lacs

Bengaluru East Karnataka India

Posted:6 days ago| Platform: Linkedin logo

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Skills Required

vision analytics development deployment cutting segmentation algorithms integration ai research visual learning tensorflow pytorch opencv dlib processing model aws programming python data preprocessing optimization quantization agile etl relational service

Work Mode

On-site

Job Type

Full Time

Job Description

Technology->Artificial Intelligence->Computer Vision
Job Overview: As a Lead Computer Vision Engineer, you will lead the development and deployment of cutting-edge computer vision models and solutions for a variety of applications including image classification, object detection, segmentation, and more. You will work closely with cross-functional teams to implement advanced computer vision algorithms, ensure the integration of AI solutions into products, and help guide the research and innovation of next-generation visual AI technologies. 2. Technical Skills:
  • Deep Learning Frameworks: Proficiency in TensorFlow, PyTorch, or other deep learning libraries.
  • Computer Vision Tools: Expertise in OpenCV, Dlib, and other image processing libraries.
  • Model Deployment: Experience deploying models to production using platforms such as AWS, Google Cloud, or NVIDIA Jetson (for edge devices).
  • Algorithms: Strong understanding of core computer vision techniques like image classification, object detection (YOLO, Faster R-CNN), image segmentation (U-Net), and feature extraction.
  • Programming Languages: Proficient in Python, C++, and other relevant programming languages for computer vision tasks.
  • Data Handling: Experience working with large datasets, data augmentation, and preprocessing techniques.
  • Optimization: Skills in model optimization techniques such as pruning, quantization, and hardware acceleration (e.g., using GPUs or TPUs). trong working experience in Agile environment - Experience working and understanding of ETL / ELT, Data load process - Knowledge on Cloud Infrastructure and data source integrations - Knowledge on relational Databases - Self-motivated, be able to work independently as well as being a team player - Excellent analytical and problem-solving skills - Ability to handle and respond to multiple stakeholders and queries - Ability to prioritize tasks and update key stakeholders - Strong client service focus and willingness to respond to queries and provide deliverables within prompt timeframes.

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