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Job description:
Job Title: Video Analytics (VA) Developer
Location: Coimbatore (Work from Office)
Experience Required: 1 Year
Employment Type: Full-Time, Permanent
Company: Katomaran Technologies
About Us
Katomaran Technologies is a cutting-edge technology company specializing in AI-driven solutions across Video Analytics, Computer Vision, Large Language Models (LLMs), and intelligent automation. We are looking for a passionate and motivated Video Analytics (VA) Developer to join our growing AI team. This role is ideal for fresh graduates or professionals with up to one year of experience who are eager to build real-world AI-powered video analytics applications and grow their expertise in Computer Vision.
Key Responsibilities
Develop and implement Video Analytics solutions using Computer Vision and Deep Learning techniques.
Build and optimize AI models for object detection, object tracking, image classification, activity recognition, and video analysis.
Work with image and video datasets for data collection, annotation, preprocessing, and model evaluation.
Integrate AI models with real-time video streams and surveillance systems.
Collaborate with senior developers to develop scalable and efficient video analytics applications.
Perform model testing, debugging, optimization, and performance tuning.
Develop Python-based applications for video processing and AI inference.
Assist in deploying AI models on edge devices and cloud platforms.
Document development activities and follow coding standards and best practices.
Stay updated with the latest advancements in Computer Vision, Video Analytics, and Artificial Intelligence.
Required Skills & Qualifications
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Electronics, Information Technology, or a related field.
1 year of experience in Computer Vision, Video Analytics, or Artificial Intelligence.
Strong programming skills in Python.
Good understanding of Computer Vision and Image Processing concepts.
Hands-on experience with OpenCV.
Basic knowledge of Deep Learning frameworks such as PyTorch or TensorFlow.
Familiarity with object detection and tracking models such as YOLO, SSD, Faster R-CNN, or similar architectures.
Basic understanding of Machine Learning and Deep Learning concepts.
Familiarity with Linux environments and Git version control.
Strong analytical, problem-solving, and debugging skills.
Good communication skills and a willingness to learn new technologies.
Nice to Have
Basic understanding of video streaming protocols such as RTSP and RTMP.
Exposure to edge AI platforms such as NVIDIA Jetson.
Knowledge of model deployment using Docker or REST APIs.
Programming knowledge in C++ will be an added advantage.
Basic understanding of AI Agents or Large Language Models (LLMs) is a plus.
What We Offer
Opportunity to work on real-world AI-powered Video Analytics solutions.
Exposure to cutting-edge Computer Vision technologies and intelligent surveillance systems.
Mentorship from experienced AI and Video Analytics engineers.
Continuous learning and career growth opportunities.
Collaborative and innovative work environment
Work arrangement
No
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