Senior ML Engineer: Scale Real-World AI for Aviation

Oredata Yazılım Anonim Şirketi; Fatih; Presencial; TRY 1 800 000 - 2 600 000; Tempo integral

Resumo da oferta

Türkiye's leading airline is seeking a Senior Machine Learning Engineer to join large-scale AI projects and deliver data-driven solutions shaping the future of aviation. The role focuses on building, evaluating, and deploying ML models for customer segmentation, recommendations, and forecasting.

You will work with Python, Spark/PySpark, and ML frameworks, preparing models for production and monitoring. Collaboration with data engineering and platform teams is essential to integrate ML into

Qualificações

• Strong Python and traditional ML techniques.
• Hands-on experience with Apache Spark / PySpark.
• Experience with Scikit-learn, XGBoost, or LightGBM.
• Solid knowledge of Classification, Regression, Clustering, and predictive modeling.
• Practical experience in Customer Segmentation, Recommendation Systems, or Forecasting.
• Experience developing and preparing ML models for production environments.
• Strong SQL skills and experience working with large datasets.

Responsabilidades

• Design, develop, and optimize ML models for real-world business challenges.
• Work on Customer Segmentation, Recommendation Systems, and Revenue/Demand Forecasting projects.
• Process and analyze large-scale datasets using Apache Spark / PySpark.
• Perform feature engineering, model training, evaluation, and optimization.
• Develop production-ready ML code and support model monitoring and automated retraining processes.
• Collaborate with Data Engineering and Platform teams to integrate ML models into existing environments.

Conhecimentos

Python

PySpark

ML frameworks

SQL

Production ML

Ferramentas

Apache Spark

OpenShift

Descrição da oferta de emprego

Türkiye's leading airline is seeking a Senior Machine Learning Engineer to join large-scale AI projects and deliver data-driven solutions shaping the future of aviation. The role focuses on building, evaluating, and deploying ML models for customer segmentation, recommendations, and forecasting.

You will work with Python, Spark/PySpark, and ML frameworks, preparing models for production and monitoring. Collaboration with data engineering and platform teams is essential to integrate ML into