Job Details

Requirements:

• Graduation/Post-graduation in Computers, Engineering, or Statistics from a reputed institute.
• Deep understanding of machine learning, artificial intelligence, and big data technologies.
• trong programming experience in Python.
• Solid background in deep learning, CNNs, and transfer learning and Machine learning basics.
• Expertise in object detection, classification, and segmentation.
• Proficiency with PyTorch, TensorFlow, and ONNX.
• Experience with GPU acceleration (CUDA, cuDNN).
• Hands-on knowledge of model optimization (pruning, quantization).
• Experience deploying models to edge devices (e.g., Jetson, mobile, Orin, Hailo )
• Understanding of image processing techniques.
• Familiarity with data pipelines, data preprocessing, and data analytics.

Job Description:

• Design, develop, and deploy deep learning models for object classification, detection, and segmentation using CNNs and Transfer Learning.
• Implement image preprocessing and advanced computer vision pipelines.
• Optimise deep learning models using pruning, quantization, and ONNX for deployment on edge devices.
• Work with PyTorch, TensorFlow, and ONNX frameworks to develop and convert models.
• Accelerate model inference using GPU programming with CUDA and cuDNN.
• Port and test models on embedded and edge hardware platforms. (Orin, Jetson, Hailo)
• Conduct research and experiments to evaluate and integrate GenAI technologies in computer vision tasks.
• Explore and implement cloud-based AI workflows, particularly using AWS/Azure AI/ML services.
• Collaborate with cross-functional teams for data analytics, data processing, and large-scale model training.

Skills Required:

• Willingness to explore and contribute to Generative AI and cloud-based AI solutions.
• Good problem-solving and communication skills.