Urgent) Computer Vision-Analytics Consultant
3 weeks ago
Responsibilities :
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).
Additional Responsibilities:
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.
Technical and Professional Requirements:
Technology- Artificial Intelligence- Computer Vision
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