Senior Machine Learning Engineer
Quick Summary
Design, develop, and optimize Machine Learning models for real-world business challenges. Work on Customer Segmentation, Recommendation Systems, and Revenue/Demand Forecasting projects.
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.
🚀 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.✈️
Responsibilities
~1 min read- →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.
Requirements
~1 min read- 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.
- 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!
Location & Eligibility
About this job
- Posted
- 1 day ago
Listing Details
- Posted
- October 14, 2026
- First seen
- October 14, 2026
- Last seen
- October 15, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 65%
- Scored at
- October 15, 2026
Signal breakdown
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