Job highlights

- Bachelors or Masters degree in Computer Science,Engineering,or a related field
- Preferred Qualifications: .
- The ideal candidate will have a strong background in image processing,machine learning core concepts,and extensive experience in developing real-time deep learning models for image and video analysis .
- We are seeking a highly skilled Computer Vision and Machine Learning Engineer to join our team
- The ideal candidate will have a strong background in image processing, machine learning core concepts, and extensive experience in developing real-time deep learning models for image and video analysis
- This role requires proficiency in deploying models on edge devices with low latency using optimization libraries like TensorRT

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Responsibilities

- Research, design, and implement cutting-edge computer vision algorithms and machine learning models for real-time image and video analysis.
- Develop and optimize deep learning models for deployment on edge devices, ensuring low latency and high performance.
- Collaborate with cross-functional teams to understand project requirements and design efficient solutions.
- Explore and experiment with various deep learning architectures and techniques to improve model accuracy and efficiency.
- Collect, preprocess, and analyze image and video data to extract meaningful features for model development.
- Deploy and integrate developed models into production environments, particularly on edge devices.




- Optimize model inference performance on edge devices using libraries such as TensorRT and other optimization techniques.
- Stay up-to-date with the latest advancements in computer vision, machine learning, and edge computing technologies.

Qualifications:
- Bachelors or Masters degree in Computer Science, Engineering, or a related field.
- Strong background in image processing, computer vision, and machine learning core concepts.
- Extensive experience in developing real-time deep learning models for image and video analysis.
- Proficiency in various deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Knowledge of optimization techniques for deploying models on edge devices, including libraries like TensorRT.
- Familiarity with edge computing concepts and experience in deploying models on edge devices.
- Excellent programming skills in languages such as Python, C/C++, or CUDA.
- Robust analytical and problem-solving skills, with the ability to innovate and adapt to new challenges.
- Effective communication and collaboration skills, with the ability to work in a team environment.

Preferred Qualifications:
- Experience with computer vision applications such as object detection, segmentation, and tracking.
- Knowledge of neural network architectures for image and video processing, including CNNs, RNNs, and GANs.
- Previous experience in optimizing model performance for low-latency inference on edge devices.
- Contributions to open-source projects or publications in relevant conferences or journals

📌 Computer Vision and Machine Learning Engineer (Hyderabad)
🏢 XMachines
📍 Hyderabad