Senior Machine Learning Engineer

Job Description

Key Responsibilities

• Design and develop predictive scoring models covering classification and regression use cases
• Build forecasting models for time series analysis and demand prediction
• Develop optimization models for planning, allocation and supply chain scenarios
• Develop feature engineering pipelines for large-scale structured and semi-structured data
• Build end-to-end pipelines using Databricks notebooks, workflows and job orchestration
• Implement Spark-based distributed processing for feature engineering and training pipelines
• Use Delta Lake for model-ready datasets, feature storage and versioning
• Implement MLflow lifecycle including experiment tracking, model registry, versioning and deployment
• Build CI/CD pipelines for ML covering build, test, packaging and environment promotion
• Develop batch scoring pipelines for large-scale inference