Own end-to-end delivery of AI-based software products, ensuring
quality, scalability, and timely releases.
• Establish and manage delivery frameworks, governance structures,
and best practices across projects.
• Drive execution across multiple technical streams — including Java,
Angular, Python, ML, and QA automation.
• Collaborate with Product Management, Data Science, and
Engineering teams to align product goals with delivery execution.
• Oversee architecture reviews, technical design validation, and
adherence to design patterns and coding standards.
• Define and implement best practices for microservices architecture,
modular development, and scalable deployments.
• Manage CI/CD pipelines, release automation, and code quality
frameworks (Jenkins, SonarQube, Git, Maven).
• Ensure robust testing and quality assurance using modern testing
frameworks (JUnit, Mockito, Selenium, TestNG).