Sr Data Scientist -Computer Vision
adani power limited
Roles and Responsibilities
As an Image Scientist at Adani, you will be responsible for:
Developing and implementing advanced algorithms and models for image recognition, segmentation, and feature extraction. Collaborating with cross-functional teams to design and optimize image processing pipelines and workflows. Contributing to the development and enhancement of AI-based systems for image interpretation and understanding. Utilizing machine learning and deep learning techniques to extract meaningful insights from image data. Evaluating and validating the performance of image processing algorithms through rigorous testing and analysis. Communicating complex technical concepts and findings to non-technical stakeholders in a clear and concise manner. Participating in the creation and maintenance of high-quality documentation and technical reports related to image science projects. Continuously exploring new methodologies and technologies to improve the efficiency and accuracy of image analysis processes. Adhering to industry best practices and standards while ensuring compliance with data privacy and security regulations. Experience 8-12 years of experience in the Data Science and AI industry with a focus on image processing and analysis. Education Qualification Bachelor’ or master’s degree or Ph.D in Computer Science, Data Science, Artificial Intelligence, or a related field. Certification required Certifications in machine learning, computer vision, or image processing would be an advantage. Behavioural Skills Strong analytical and critical thinking skills. Excellent problem-solving abilities and attention to detail. Effective communication and collaboration skills. Adaptability and willingness to learn and explore new technologies. Technical Skills Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, or PyTorch. Working knowledge of image processing tools and libraries, such as OpenCV, scikit-image, or PIL. Familiarity with deep learning architectures and techniques for image analysis. Experience with cloud platforms and services for data storage and processing, such as AWS, Azure, or GCP. Non-Negotiable Skills Proficiency in image processing techniques and computer vision algorithms Advanced knowledge of machine learning, deep learning, and neural networks Cloud development and deployment of AI systems
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