Padmi

Object Detection Engineer (Hyderabad)

HyderabadPosted 1 month ago
Software engineeringSeniorFull Time; Regular
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Job Title: Object Detection Engineer Experience: 15 Years Location: Hyderabad (Onsite) Employment Type: Full-Time We are looking for an experienced Object Detection Engineer to design, develop, and deploy real-time computer vision solutions for operational environments. The ideal candidate should have hands-on experience with object detection models, image processing, and edge deployment while working closely with business, data, and engineering teams to deliver secure, scalable, and high-performance AI solutions. Key Responsibilities - Design, develop, and optimize real-time object detection and tracking systems. - Train, evaluate, and fine-tune YOLO or similar deep learning models. - Perform image annotation, dataset preparation, and data augmentation. - Develop computer vision applications using Python and OpenCV. - Deploy optimized AI models on edge devices and production environments. - Improve model accuracy, inference speed, and overall system performance. - Collaborate with cross-functional teams to gather requirements and deliver AI solutions. - Maintain technical documentation and follow AI development best practices. Required Skills - Solid experience with YOLO (v5/v7/v8) or similar object detection models - OpenCV - Image annotation and dataset preparation - Model training, evaluation, and optimization - Edge deployment - Python - PyTorch or TensorFlow - Object tracking and computer vision techniques Preferred Skills - ONNX, TensorRT, NVIDIA Jetson - Docker - Linux - REST APIs - AWS, Azure, or GCP - MLOps and CI/CD knowledge Experience - 15 years of overall experience. - Minimum 12 years of relevant hands-on experience in Object Detection, Computer Vision, or related AI/ML technologies. Education Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Electronics, or a related discipline. Apply Now Interested candidates can share their updated resume along with the following details: - Total Experience - Relevant Experience - Current CTC - Expected CTC - Notice Period - Current Location Email:[HIDDEN TEXT] .

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