Our Client Currently looking for Computer Vision AI Engineer
Responsibilities :
Algorithm Development :
– Develop, test, and deploy advanced computer vision algorithms for tasks such as object detection, object tracking, image segmentation, and feature extraction.
– Research and implement state-of-the-art computer vision methodologies, optimizing them for specific application requirements.
Model Design and Optimization :
– Design and train deep learning models tailored to application needs using frameworks like TensorFlow, PyTorch, or Keras.
– Optimize models for performance, accuracy, and efficiency, ensuring suitability for real-time or resource-constrained environments.
– Use quantization, pruning, and other optimization techniques to deploy models on edge devices.
Data Handling and Preprocessing :
– Work with large datasets to preprocess, clean, and augment data for improved model performance.
– Create automated pipelines for data labeling, annotation, and validation.
Software Integration :
– Integrate computer vision algorithms and models into existing or new software platforms, ensuring seamless interoperability with other system components.
– Collaborate with software engineers to design APIs, SDKs, or modules for integrating vision capabilities.
– Handle real-time data streams from cameras and sensors, processing them within application frameworks.
Performance Monitoring and Testing :
– Develop unit tests, validation frameworks, and metrics to ensure the reliability and robustness of vision systems.
– Monitor the deployed system’s performance in real-world scenarios, identifying and resolving bottlenecks.
Deployment and Edge Computing :
– Deploy computer vision solutions on cloud platforms (AWS, GCP, Azure) or edge devices (e.g., NVIDIA Jetson, Raspberry Pi).
– Optimize for low latency and efficient resource utilization on edge environments.
Research and Continuous Learning :
– Stay up-to-date with the latest advancements in computer vision and AI.
– Identify and implement innovative solutions to address emerging challenges in the domain.
Collaboration and Documentation :
– Work with cross-functional teams, including hardware, software, and business units, to align vision solutions with project goals.
– Prepare detailed documentation for models, algorithms, and integration workflows, ensuring knowledge transfer and maintainability.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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