Artificial Intelligence Engineer
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Key skills for this role
About the Role
Atain is seeking a Senior AI Engineer with 7-8+ years of experience to design and deploy AI/ML models on Azure Databricks for airline revenue management. The role requires expertise in Python, SQL, ML frameworks, and strong domain knowledge in pricing, forecasting, and demand optimization.
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
- 5–10 years of experience in AI/ML or Data Science roles
- Strong hands on experience with Azure Databricks and Spark ecosystem
- Solid experience in Python, SQL, and ML frameworks (Scikit learn, TensorFlow, PyTorch, or similar)
- Strong understanding of Airlines Revenue Management concepts (pricing, forecasting, yield management, demand optimization)
- Experience working with large scale data pipelines and cloud based data platforms (Azure preferred)
- Experience in building and deploying production grade ML models
Full Job Posting
Description
- We are seeking an AI Engineer with strong experience in Azure Databricks and Airlines Revenue Management domain.
- The role involves designing and deploying AI/ML models that optimize pricing, forecasting, demand prediction, and revenue optimization for airline business functions.
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.
Required Skills & Experience
- 5–10 years of experience in AI/ML or Data Science roles.
- Strong hands on experience with Azure Databricks and Spark ecosystem.
- Solid experience in Python, SQL, and ML frameworks (Scikit learn, TensorFlow, PyTorch, or similar).
- Strong understanding of Airlines Revenue Management concepts (pricing, forecasting, yield management, demand optimization).
- Experience working with large scale data pipelines and cloud based data platforms (Azure preferred).
- Experience in building and deploying production grade ML models.
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