Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.· 3–8 years of experience in AI systems engineering, MLOps, or machine learning platform engineering.· Strong programming skills in Python.· Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.· Hands-on experience with Docker, Kubernetes, and containerized deployments.· Experience designing and maintaining CI/CD pipelines.

· Design, deploy, and maintain scalable AI/ML systems and infrastructure.· Develop and manage MLOps pipelines for automated model deployment and monitoring.· Ensure the performance, reliability, security, and scalability of AI platforms.· Deploy, serve, and optimize machine learning and generative AI models for production environments.· Build and maintain CI/CD pipelines for AI applications.· Manage containerized AI applications using Docker and Kubernetes.