Machine Learning Engineer personalization m f d
Core
Building and deploying data-driven machine learning solutions for portal personalization, campaign ranking, and churn prevention.
Role type
Senior Machine Learning Engineer (personalization & ranking)
Builds
Campaign-based flash sale model, product recommender systems, and smart communication models.
Domain
E-commerce, personalization, recommendation systems
Deliverable
production ML models
Required skills
Python, SQL, Git, decision trees, neural networks, regression models, data lake/lakehouse architecture, feature engineering, model validation, MLOps
Preferred skills
recommender systems, NLP, PySpark, Databricks Lakehouse, structured streaming, Scala, mlflow
Technologies
Python, SQL, Git, PySpark, Databricks, mlflow, Scala
Responsibilities
Verify data quality and choose optimal algorithms; build and deploy ML solutions for personalization and campaign ranking; monitor, maintain, scale, and update ML pipelines; explain ML solutions to business stakeholders and developer teams; share and improve MLOps knowledge within the organization.
Seniority
Senior, hands-on IC