AI Vision for Real-Time Detection System
Budget: ₹37,500 – ₹75,000 INR
Job Title: AI Computer Vision Engineer
Job Description:
We are seeking a highly skilled AI Computer Vision Engineer to develop and implement advanced machine learning models and computer vision algorithms for a cutting-edge AI-powered solution. This position involves working on real-time video analysis, integrating AI models with camera feeds, and building a robust system for automated detection and real-time alerts.
Key Responsibilities:
Develop AI Models: Create and optimize computer vision models for real-time detection of various scenarios and objects.
Video Stream Analysis: Implement algorithms that process video feeds and provide actionable insights in real time.
AI Integration: Seamlessly integrate AI models with existing camera infrastructure to ensure smooth operations across multiple environments.
Notification System: Work with cross-functional teams to create alert systems that notify management via APIs, messaging platforms, or email.
Data Processing & Training: Collect and preprocess large datasets to train, test, and validate machine learning models.
System Scalability: Ensure the AI models and algorithms are scalable and can operate efficiently with high volumes of real-time video streams.
Dashboard & Reporting Integration: Collaborate with backend teams to display AI results and insights on an intuitive user interface.
Skills & Experience:
Expertise in Computer Vision: Proficient in deep learning frameworks like TensorFlow, PyTorch, or OpenCV for image and video processing.
Real-time Video Analytics: Experience in developing real-time detection systems and working with live video feeds from IP cameras or other sources.
Strong Programming Skills: Proficient in Python or similar languages for developing machine learning models and integrating them with backend systems.
Machine Learning Expertise: Solid understanding of CNNs, object detection algorithms (YOLO, Faster R-CNN), and model optimization techniques.
Cloud & Edge Deployment: Familiarity with deploying AI models on cloud platforms (AWS, Azure) and edge devices.
API Integration: Experience with APIs for integrating models with messaging or notification systems.
Bonus Skills:
Experience with video compression, low-latency processing, or streaming technologies.
Knowledge of security and privacy best practices for handling sensitive data.
Please submit your portfolio or relevant work experience along with your application.
Job Description:
We are seeking a highly skilled AI Computer Vision Engineer to develop and implement advanced machine learning models and computer vision algorithms for a cutting-edge AI-powered solution. This position involves working on real-time video analysis, integrating AI models with camera feeds, and building a robust system for automated detection and real-time alerts.
Key Responsibilities:
Develop AI Models: Create and optimize computer vision models for real-time detection of various scenarios and objects.
Video Stream Analysis: Implement algorithms that process video feeds and provide actionable insights in real time.
AI Integration: Seamlessly integrate AI models with existing camera infrastructure to ensure smooth operations across multiple environments.
Notification System: Work with cross-functional teams to create alert systems that notify management via APIs, messaging platforms, or email.
Data Processing & Training: Collect and preprocess large datasets to train, test, and validate machine learning models.
System Scalability: Ensure the AI models and algorithms are scalable and can operate efficiently with high volumes of real-time video streams.
Dashboard & Reporting Integration: Collaborate with backend teams to display AI results and insights on an intuitive user interface.
Skills & Experience:
Expertise in Computer Vision: Proficient in deep learning frameworks like TensorFlow, PyTorch, or OpenCV for image and video processing.
Real-time Video Analytics: Experience in developing real-time detection systems and working with live video feeds from IP cameras or other sources.
Strong Programming Skills: Proficient in Python or similar languages for developing machine learning models and integrating them with backend systems.
Machine Learning Expertise: Solid understanding of CNNs, object detection algorithms (YOLO, Faster R-CNN), and model optimization techniques.
Cloud & Edge Deployment: Familiarity with deploying AI models on cloud platforms (AWS, Azure) and edge devices.
API Integration: Experience with APIs for integrating models with messaging or notification systems.
Bonus Skills:
Experience with video compression, low-latency processing, or streaming technologies.
Knowledge of security and privacy best practices for handling sensitive data.
Please submit your portfolio or relevant work experience along with your application.