Computer Vision Scientist

Job Description You will be working as a Computer Vision Scientist at Adani Group, a diversified organisation in India with a focus on logistics and energy businesses. In this role, your responsibility will be to develop, train, and deploy AI-powered computer vision models to enhance automation, efficiency, and decision-making across industries. You will collaborate with cross-functional teams to ensure the integration of high-performance computer vision algorithms into business operations. **Key Responsibilities:** - Design, train, and optimize deep learning-based computer vision models for tasks such as Object Detection, Optical Character Recognition, 3D vision, Event Detection, Satellite Image Processing, and Thermal Imaging. - Develop custom deep learning architectures using CNNs, transformers, GANs, and YOLO-based frameworks for real-time applications. - Implement RGB-D image processing algorithms for depth estimation, multi-view stereo, and LiDAR-based vision. - Optimize AI inference speed, accuracy, and computational efficiency for real-time processing in edge and cloud environments. - Preprocess large-scale image video datasets, perform data augmentation, feature extraction, and dimensionality reduction. - Develop image segmentation, object tracking, and feature detection pipelines. - Implement data pipelines for structured and unstructured image processing, integrating with HPC clusters and cloud-based storage. - Train neural networks on complex datasets and implement MLOps workflows for automated model training. - Deploy AI models on cloud and edge devices, 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. - Collaborate with AI engineers, data scientists, and software teams to integrate CV models into enterprise applications. - Ensure model fairness, bias mitigation, and compliance with data privacy regulations and ethical AI standards. - Monitor and address AI model drift, hallucinations, and security vulnerabilities. **Qualifications Required:** - Masters or Ph.D. in AI, Computer Vision, Machine Learning, or Computer Science from reputable institutes. - Certification in AWS, GCP, Azure AI & Machine Learning, Deep Learning Specialization, Computer Vision Nanodegree, and DevOps for AI & MLOps. In this role, you will work closely with internal stakeholders such as Computer Vision Head, Data Science & Engineering Teams, Business & Product Teams, and Cloud & DevOps Teams. You will also engage with external stakeholders including AI Research Institutions & Tech Partners, Regulatory Bodies, and Cloud & AI Infrastructure Providers. You will be working as a Computer Vision Scientist at Adani Group, a diversified organisation in India with a focus on logistics and energy businesses. In this role, your responsibility will be to develop, train, and deploy AI-powered computer vision models to enhance automation, efficiency, and decision-making across industries. You will collaborate with cross-functional teams to ensure the integration of high-performance computer vision algorithms into business operations. **Key Responsibilities:** - Design, train, and optimize deep learning-based computer vision models for tasks such as Object Detection, Optical Character Recognition, 3D vision, Event Detection, Satellite Image Processing, and Thermal Imaging. - Develop custom deep learning architectures using CNNs, transformers, GANs, and YOLO-based frameworks for real-time applications. - Implement RGB-D image processing algorithms for depth estimation, multi-view stereo, and LiDAR-based vision. - Optimize AI inference speed, accuracy, and computational efficiency for real-time processing in edge and cloud environments. - Preprocess large-scale image video datasets, perform data augmentation, feature extraction, and dimensionality reduction. - Develop image segmentation, object tracking, and feature detection pipelines. - Implement data pipelines for structured and unstructured image processing, integrating with HPC clusters and cloud-based storage. - Train neural networks on complex datasets and implement MLOps workflows for automated model training. - Deploy AI models on cloud and edge devices, 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. - Collaborate with AI engineers, data scientists, and software teams to integrate CV models into enterprise applications. - Ensure model fairness, bias mitigation, and compliance with data privacy regulations and ethical AI standards. - Monitor and address AI model drift, hallucinations, and security vulnerabilities. **Qualifications Required:** - Masters or Ph.D. in AI, Computer Vision, Machine Learning, or Computer Science from reputable institutes. - Certification in AWS, G