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Mid-level Pune role with common 3–5yr band but niche embedded CV skills, moderate candidate competition.
Specialized embedded computer vision and CUDA/Jetson expertise limits cross-industry transferability, indicating high background sensitivity.
Mandatory 3–5 years and hands-on Jetson, CUDA, PyTorch/TensorFlow requirements make shortlisting highly strict.
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Design and develop computer vision pipelines for object detection, segmentation, and multi-object tracking optimized for real-time deployment.
Build, optimize, and benchmark deep learning models for embedded platforms such as NVIDIA Jetson, using tools like TensorRT and CUDA.
Develop and maintain data annotation, validation, and dataset management pipelines; collaborate with cross-functional teams for system integration.
3–5 years of experience specifically in Computer Vision and Machine Learning.
Proficiency in Python and/or C++ and hands-on experience with PyTorch or TensorFlow.
Experience deploying AI models on embedded platforms (e.g., NVIDIA Jetson) and optimizing inference using TensorRT, CUDA, or similar technologies.
Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Computer Vision, or related field.
Experienced in building production-grade AI systems for real-world, real-time embedded applications in robotics or autonomous systems.
Strong skills in developing and optimizing computer vision models with a focus on object detection, segmentation, and tracking.
Comfortable working closely with software, robotics, and system integration teams to deliver end-to-end perception solutions.