AI/ML Engineer

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.