Generative AI Engineer

Key Responsibilities

• Design, 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.