Artificial Intelligence Computer Vision Specialist

5 days ago

Pune, Maharashtra, India beBeeVision Full time US$ 90,000 - US$ 1,80,000
Computer Vision Engineer

 

Our organization is revolutionizing the world of artificial intelligence by developing adaptive systems that empower innovation and enhance safety. We are building scalable AI-driven solutions to power next-generation visual intelligence systems.

The primary responsibilities include:

  • Design, develop, and deploy robust computer vision models for object detection, classification, segmentation, pose estimation, tracking, and OCR tasks
  • Manage end-to-end data pipelines, including dataset curation, preprocessing, augmentation, and annotation for large-scale image and video data
  • Implement optimization techniques such as model quantization, pruning, and knowledge distillation for efficient edge deployment
  • Optimize model inference performance on both cloud and edge computing platforms
  • Develop and fine-tune deep learning architectures using modern frameworks
  • Integrate computer vision models into production pipelines and edge-based inference systems
  • Collaborate with technical teams to deploy CV solutions at scale
  • Research and evaluate emerging techniques to continuously improve system accuracy and efficiency

Required skills include:

  • 2+ years of hands-on experience in computer vision and deep learning development
  • Proficiency in Python with computer vision libraries and data processing tools
  • Strong expertise in deep learning frameworks for training custom models and leveraging pre-trained architectures
  • Experience with deployment and optimization on edge computing devices
  • Familiarity with hardware acceleration and model optimization tools
  • Understanding of classical computer vision techniques, including image processing fundamentals
  • Experience in data pipeline management for vision applications
  • Proficiency with version control systems and collaborative development workflows
  • Basic experience working with video streams from cameras, drones, or embedded platforms

Nice-to-have skills include:

  • Experience with model serving frameworks and inference optimization tools
  • Familiarity with MLOps practices and CI/CD pipeline integration
  • Knowledge of Vision-Language Models (VLMs) and multimodal AI systems for advanced visual understanding
  • Knowledge of cloud AI services and edge computing platforms
  • Experience with real-time object tracking algorithms
  • Domain experience in smart surveillance, OCR, safety detection, or embedded CV applications

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