Develop, deploy, and optimize machine learning and Generative AI models across the full data science lifecycle. Responsibilities include data preprocessing, feature engineering, exploratory analysis, model optimization, deployment, monitoring, and cloud-based ML operations. The role requires collaboration across teams, implementation of NLP and computer vision solutions, use of modern MLOps and DevOps practices, and adherence to ethical AI, privacy, and regulatory standards.

Develop and maintain large-scale Android applications for client projects. Responsibilities include enhancing and debugging mobile applications, applying MVC and MVVM architectural patterns, supporting multiple Android versions and screen sizes, implementing mobile data storage, and writing mobile tests. The role requires strong communication, teamwork, onsite work, and willingness to relocate based on client assignments.

Develop and maintain cross-platform iOS and Android applications using React Native. Responsibilities include enhancing and debugging large-scale applications, integrating REST and third-party APIs, implementing offline storage, working with Redux and JavaScript, using Git, and writing automated tests with Jest or Mocha. Candidates must have published at least two original mobile apps and understand mobile architectures, development trends, and the full application lifecycle.