Artificial Intelligence Engineer

Full-time

Key Skills

Description

Azure Databricks

Airlines Revenue Management

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.
• It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.