Computer Vision Engineer

3 weeks ago

hyderabad, India Grid Dynamics Full time
Experience: 8+yrs
Location: Hyderabad/Bangalore
Job description:
We are seeking a highly skilled and passionate Lead Computer Vision Engineer with expertise in robotics to join our team. As a Lead Engineer, you will play a key role in developing and advancing cutting-edge solutions in the field of computer vision and robotics. We are looking for individuals with a strong background in computer science, mathematics, and machine learning, as well as leadership skills to drive innovation.
Responsibilities:
You will lead a team of researchers and engineers in the field of computer vision and robotics to deliver innovative products and solutions
Experiment with state-of-the-art methods in object detection, scene reconstruction, and motion planning
Train neural networks on in-house domain specific datasets
Analyze experimental results and come up with ways to improve the robustness, sample-efficiency, accuracy, and other model properties
Design and implement domain-specific benchmarks, profile and optimize the performance of neural networks as well as end-to-end systems
Design and build robotic applications combining multiple perception and motion planning models
Enhance datasets for comprehensive training in manipulation and streamline data review, cleaning, and labeling processes
Requirements:
MS or PhD degree in Engineering or Computer Science or equivalent experience
Extensive experience with Deep Learning, Computer Vision, or a related field
Experience with deep neural network training in leading frameworks such as PyTorch and TensorFlow
Solid fundamentals and experience in computer vision (linear algebra, object detection, structure from motion, vision-language models)
Experience in robotics or edge is a big plus: evidence of practical experience and projects that involve scene reconstruction, depth estimation, calibration, or deployment on edge devices
Experience leading a team of AI/ML engineers
Published research: particularly around computer vision and robotics demonstrating a deep understanding and contribution to the field

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