About the team you are joining Reporting to the Lead MLOps Engineering, the MLOps Engineer will be responsible for developing and maintaining solutions and infrastructure for AI projects across IATA. The role will involve working closely with Data Scientists as well as Cloud and Data Engineers to transform proof-of-concept models into production-ready solutions, as well as providing operational support for IATA Data Scientists globally. What your day would be like Deliver production-ready ML systems end to end, from data pipelines to packaged, versioned, scalable, and deployed models. Implement and maintain CI/CD/CT pipelines for ML workflows, including automated testing, model/version management, packaging, deployment automation, and reliable delivery practices. Monitor, maintain, and continuously improve ML systems in production, optimizing model performance, infrastructure cost, scalability, reliability, and operational efficiency. Apply and promote strong ML engineering best practices, including data governance, security, reproducibility, standardized reusable patterns, and shared platform capabilities. Provide operational and technical support to Data Scientists across IATA, including ticketing, monitoring, troubleshooting, and mentoring on Cloud, DevOps, AI system design, and production ML best practices.