Generative AI Engineer
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Key skills for this role
About the Role
CareCone Group is hiring a Generative AI Engineer to design and deploy machine learning models on Azure Databricks for airline revenue management. You will work on fare optimization, demand forecasting, and dynamic pricing, building scalable data pipelines and end-to-end ML lifecycle.
Key Skills for This Role
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.
Requirements
- Experience designing, developing, and deploying machine learning and AI models on Azure Databricks
- Experience with airline revenue management use cases such as fare optimization, demand forecasting, seat inventory optimization, and dynamic pricing
- Ability to build scalable data pipelines using Spark, Databricks, and Azure Data Services
- Experience with end to end ML lifecycle including data preprocessing, feature engineering, model training, validation, and deployment
- Ability to optimize model performance and ensure scalability in production environments
- Experience integrating ML solutions with airline systems and analytics platforms
- Ability to monitor model performance and continuously improve accuracy and business impact
Full Job Posting
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.
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