• Build clean, scalable, and reliable solutions that support data-driven and AI-enabled environments • Develop and maintain clean, well-structured Python code with strong documentation and unit testing • Deploy, troubleshoot, and optimize applications in cloud environments using Docker and Kubernetes • Support and enhance CI/CD pipelines, improve automation, and deployment workflows • Collaborate with cross-functional teams, including scientists, data engineers, and ML engineers, to operationalize AI and analytical tools • Participate in code reviews, design discussions, and architectural improvements • Ensure reliability, performance, and scalability across production systems and services.