AI/ML Engineer

Key ResponsibilitiesDesign, develop, and deploy machine learning and AI models on Azure Databricks.Work on airline revenue management use cases such as fare optimization, demand forecasting, seat inventory optimization, and dynamic pricing.Build scalable data pipelines using Spark, Databricks, and Azure Data Services.Collaborate with business and data teams to translate revenue management requirements into AI-driven solutions.Develop and maintain end-to-end ML lifecycle including data preprocessing, feature engineering, model training, validation, and deployment.Optimize model performance and ensure scalability in production environments.Integrate ML solutions with airline systems and analytics platforms.Monitor model performance and continuously improve accuracy and business impact.