- Lead research and development initiatives in the areas of computer vision, image analysis, and machine learning, driving the conceptualization and creation of new data-driven product features and capabilities.

- Apply expertise in advanced image analysis and computer vision techniques to extract meaningful insights and solve complex real-world problems from visual data.

- Design, develop, and implement robust Machine Learning Models and Neural Networks for a variety of data science applications, from prototyping to production deployment.

- Develop and optimize data-driven solutions for image classification, object detection, and anomaly detection within large datasets.

- Utilize knowledge of image forensics to develop analytical frameworks and tools for data integrity and authenticity.

- Drive the development of refined algorithms through an iterative process of defining, testing, and optimizing data processing and analytical algorithms to improve their performance, scalability, readability, and simplicity for real-world applications.

- Collaborate closely with engineering and product teams to integrate data science models and insights into production software products.

- Mentor junior data scientists and contribute to best practices in data science, machine learning, and algorithm development.

Requirements :

- Engineering Graduate (B.Tech) with a specialization in Computer Science from a recognized university.

- Post Graduate (M.Tech) in AI, ML, Data Science, or related fields is strongly preferred.

- Minimum of 15 years of hands-on experience as a Data Scientist or in a closely related role, with a proven track record of developing and deploying data science solutions within software products.

- This experience should specifically encompass advanced image analysis, computer vision techniques, machine learning models and neural networks, image forensics, and the development of refined algorithms.