Senior Machine Learning Engineer

Oredata Yazılım Anonim Şirketi; Fatih; On-site; TRY 1,800,000 - 2,600,000; Full time

Job summary

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

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

PySpark

ML frameworks

SQL

Production ML

Tools

Apache Spark

OpenShift

Job description

Ready to take your Machine Learning expertise to new heights?

We are looking for an experienced Senior Machine Learning Engineer to join exciting, large-scale AI and Machine Learning projects at Türkiye’s leading airline, contributing to innovative, data-driven solutions that shape the future of aviation.

Key Responsibilities:

• Design, develop, and optimize Machine Learning 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.

Required Qualifications:

• Strong proficiency in Python and Traditional Machine Learning techniques.
• Hands-on experience with Apache Spark / PySpark.
• Experience with ML frameworks such as 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.

Preferred Qualifications:

• Experience with Spark MLlib.
• Familiarity with OpenShift or container-based environments.

Knowledge of S3, Apache Iceberg, or Feature Store architectures.