Back
Mid-level ML CV role in Bangalore with a 3–5 year range and metro location causing moderate density.
Specialized computer-vision and embedded deployment skills limit easy cross-industry transferability.
Explicit 3–5 years plus mandatory CV and embedded inference tool experience increases screening strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and optimize computer vision and deep learning models for object detection, segmentation, and tracking in real-time on embedded platforms.
Deploy and optimize AI models on embedded systems such as NVIDIA Jetson using TensorRT, CUDA, and mixed-precision techniques.
Develop and manage data pipelines for annotation, validation, and dataset management; collaborate closely with software, robotics, and system integration teams.
3–5 years of hands-on experience in Computer Vision and Machine Learning with real-time deployment focus.
Proficiency in Python and/or C++ programming languages.
Experience working with deep learning frameworks such as PyTorch or TensorFlow and computer vision libraries like OpenCV.
Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Computer Vision, or related field.
Demonstrated ability to build and deploy production-grade AI solutions for embedded and robotics systems in real-world environments.
Expertise in model optimization techniques including TensorRT, CUDA, and mixed-precision for latency and accuracy trade-offs.
Operating experience with NVIDIA Jetson or similar embedded AI platforms and strong understanding of object detection, segmentation, and tracking algorithm implementations.