Senior Machine Learning Engineer
Core
Designing predictive scoring, forecasting, and optimization models for classification, regression, time series, and supply chain scenarios.
Role type
Senior Machine Learning Engineer
Builds
End-to-end ML pipelines, batch and real-time inference systems, and model governance frameworks.
Domain
IT services, supply chain planning, and demand prediction.
Deliverable
production ML models
Required skills
Python, PySpark, SQL, Spark, Scala, numpy, pandas, scikit-learn, tensorflow, pytorch, xgboost, lightgbm, Databricks notebooks, Delta Lake, MLflow, CI/CD pipelines
Preferred skills
null
Technologies
Databricks, Delta Lake, MLflow, Spark, TensorFlow, PyTorch
Responsibilities
Design predictive scoring models for classification and regression; Build forecasting models for time series analysis; Develop optimization models for planning and supply chain; Develop feature engineering pipelines for large-scale data; Build end-to-end pipelines using Databricks; Implement Spark-based distributed processing; Use Delta Lake for model-ready datasets; Implement MLflow lifecycle; Build CI/CD pipelines for ML; Develop batch and real-time inference pipelines; Implement model monitoring for drift detection; Define standards for reproducibility and governance; Collaborate with data science and business teams for model validation.
Seniority
Senior, hands-on IC
