OY
Oredata Yazılım Anonim Şirketi
ML Engineer

Senior Machine Learning Engineer

On-siteSeniorML EngineerJust posted
✦Role summaryAI-generated

This role focuses on designing and deploying production-ready machine learning models for customer segmentation, recommendation systems, and revenue forecasting within Turkey's leading airline. You will work with large-scale data using Apache Spark/PySpark and collaborate closely with data engineering teams to ensure seamless integration and automated retraining.

Skills required

About this role

🚀 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.

📩 Interested in taking your career to new heights? Let's connect!

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