Computer Vision Scientist

Job Description As a Computer Vision Scientist at Adani Group, your primary responsibility will be to develop, train, and deploy AI-powered computer vision models aimed at enhancing automation, efficiency, and decision-making across various industries. You will work closely with cross-functional teams to ensure that high-performance computer vision algorithms are effectively integrated into business operations. Key Responsibilities: - Design, train, and optimize deep learning-based computer vision models including Object Detection (OD), Optical Character Recognition (OCR), 3D vision, Event Detection (ED), Satellite Image Processing (SI), and Thermal Imaging (TI). - Develop custom deep learning architectures using CNNs, transformers, GANs, and YOLO-based frameworks for real-time applications. - Implement and fine-tune RGB-D image processing algorithms for depth estimation, multi-view stereo, and LiDAR-based vision. - Optimize AI inference speed, accuracy, and computational efficiency to support real-time processing at the edge and cloud environments. - Preprocess large-scale image video datasets, perform data augmentation, feature extraction, and dimensionality reduction. - Develop custom image segmentation, object tracking, and feature detection pipelines. - Implement efficient data pipelines for structured and unstructured image processing, integrating with HPC clusters and cloud-based storage. - Train state-of-the-art neural networks (CNNs, RNNs, ViTs, RAG, GANs, Transformers, etc.) on complex datasets. - Implement MLOps workflows, leveraging TensorFlow, PyTorch, OpenCV, and Hugging Face for automated model training. - Deploy AI models on cloud (AWS, GCP, Azure) and edge devices (Jetson Nano, TensorRT, OpenVINO). - Integrate computer vision models with IoT cameras, satellite feeds, and industrial automation systems. - Develop real-time analytics dashboards to visualize AI model insights for business stakeholders. Qualifications: - Educational Qualification: Masters Ph.D. in AI, Computer Vision, Machine Learning, or Computer Science (Preferred from ISI IISc IIT Top AI Institutes) - Certification (Preferred but Not Mandatory): AWS GCP Azure AI & Machine Learning Certification, Deep Learning Specialization (Coursera, Stanford, Andrew Ngs DL Program), Computer Vision Nanodegree (Udacity, MIT AI), DevOps for AI & MLOps Certification (Google, Kubernetes, TensorFlow Extended TFX) - Work Experience: 5-10 years About Business: Adani Group is a diversified organisation in India comprising 10 publicly traded companies. It has created a world-class logistics and utility infrastructure portfolio with a pan-India presence. Adani Group is the market leader in logistics and energy businesses focusing on large-scale infrastructure development in India with benchmarked O & M practices. With four IG-rated businesses, it is the only Infrastructure Investment Grade issuer in India. The headquarters of Adani Group is located in Ahmedabad, Gujarat, India. As a Computer Vision Scientist at Adani Group, your primary responsibility will be to develop, train, and deploy AI-powered computer vision models aimed at enhancing automation, efficiency, and decision-making across various industries. You will work closely with cross-functional teams to ensure that high-performance computer vision algorithms are effectively integrated into business operations. Key Responsibilities: - Design, train, and optimize deep learning-based computer vision models including Object Detection (OD), Optical Character Recognition (OCR), 3D vision, Event Detection (ED), Satellite Image Processing (SI), and Thermal Imaging (TI). - Develop custom deep learning architectures using CNNs, transformers, GANs, and YOLO-based frameworks for real-time applications. - Implement and fine-tune RGB-D image processing algorithms for depth estimation, multi-view stereo, and LiDAR-based vision. - Optimize AI inference speed, accuracy, and computational efficiency to support real-time processing at the edge and cloud environments. - Preprocess large-scale image video datasets, perform data augmentation, feature extraction, and dimensionality reduction. - Develop custom image segmentation, object tracking, and feature detection pipelines. - Implement efficient data pipelines for structured and unstructured image processing, integrating with HPC clusters and cloud-based storage. - Train state-of-the-art neural networks (CNNs, RNNs, ViTs, RAG, GANs, Transformers, etc.) on complex datasets. - Implement MLOps workflows, leveraging TensorFlow, PyTorch, OpenCV, and Hugging Face for automated model training. - Deploy AI models on cloud (AWS, GCP, Azure) and edge devices (Jetson Nano, TensorRT, OpenVINO). - Integrate computer vision models with IoT cameras, satellite feeds, and industrial automation systems. - Develop real-time analytics dashboards to visualize AI model insights for business stakeholders. Qualifications: - Educational Qualification: Masters Ph.D. in AI, Comput