Responsibilities 1. Research and Development: o Investigate and implement AI/ML solutions to automate repetitive tasks in our software development lifecycle, such as code generation, code review assistance, bug detection, or test case generation. o Develop predictive analytics models to optimize resource allocation, project timelines, or software performance monitoring. 2. Software Enhancement: o Collaborate with software development teams to integrate AI capabilities into existing systems. o Identify opportunities to improve software functionality, efficiency, and user experience through AI-driven features. 3. Testing and Optimization: o Develop and execute testing plans to evaluate the performance and accuracy of AI models. o Optimize AI algorithms for scalability, reliability, and efficiency. 4. Knowledge Sharing: o Share insights, best practices, and technical knowledge with the team to build AI expertise within the organization. o Document research findings, development processes, and implementation strategies. 5. Innovation: o Propose creative AI solutions to streamline software development, testing, and deployment workflows. o Stay updated on the latest AI trends and technologies to identify potential applications for the company.