Senior Machine Learning Engineer
Core
Design, develop, and optimize traditional Machine Learning models for business use cases including Customer Segmentation, Recommendation Systems, Revenue Forecasting, and Demand Prediction within the aviation industry.
Role type
Senior Machine Learning Engineer (Production)
Builds
Production-ready ML models and automated retraining pipelines
Domain
Aviation, Machine Learning, Data Engineering
Deliverable
production ML models
Required skills
Python, Apache Spark/PySpark, Scikit-learn, XGBoost, LightGBM, SQL, Feature Engineering, Model Evaluation, Hyperparameter Optimization
Preferred skills
Spark MLlib, OpenShift, S3, Apache Iceberg, Feature Store, MLOps
Technologies
Python, Apache Spark, PySpark, Scikit-learn, XGBoost, LightGBM, Teradata, Oracle, OpenShift, S3, Apache Iceberg
Responsibilities
Design and optimize ML models for complex business challenges; Develop ML solutions for segmentation, recommendation, and forecasting; Extract and process large-scale data from cloud storage and relational databases; Perform feature engineering, training, validation, and hyperparameter optimization; Write scalable code for model monitoring and automated retraining; Collaborate with Data Engineering and Platform teams to deploy solutions into OpenShift.
Seniority
Senior, hands-on IC