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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and optimizing Machine Learning models, with strong proficiency in Python and experience in production environments. Capable of processing large datasets using Apache Spark and implementing Customer Segmentation, Recommendation Systems, and Forecasting techniques.
Highest-signal resume keywords
Python ProficiencyMachine Learning TechniquesApache Spark / PySparkScikit-learn / XGBoost / LightGBMSQL Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningFeature EngineeringModel TrainingModel EvaluationModel OptimizationClassificationRegressionClusteringPredictive ModelingCustomer Segmentation
Tools & Technologies
Apache SparkPySparkScikit-learnXGBoostLightGBMSQLOpenShiftS3Apache IcebergFeature Store
Industry Keywords
Machine Learning ModelsRecommendation SystemsRevenue ForecastingDemand ForecastingLarge-scale Datasets
Tech Stack
Tools & technologiesApacheOpenShiftPySparkPythonScikit-LearnSparkSQL
About the role
Key responsibilities & impact- 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
What you’ll need- 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: Experience with Spark MLlib
- Preferred: Familiarity with OpenShift or container-based environments
- Preferred: Knowledge of S3, Apache Iceberg, or Feature Store architectures