Senior Machine Learning Engineer

Job Summary

To enhance demand-forecasting capabilities, the full-time Senior Machine Learning Engineer will develop and modernize ML pipelines, optimize data processing, and collaborate with data scientists and platform engineers in a remote setting.

Key responsibilities

• Support the development and modernization of demand-forecasting capabilities within the client's digital fulfillment organization
• Build and maintain robust ML pipelines, integrating data validation, model training, and deployment into production workflows
• Optimize data pipelines for performance and cost efficiency while ensuring forecasting models run reliably in production

Required qualifications

• Bachelor's degree in a relevant field
• 3 years of experience in machine learning model development and production deployment
• Hands-on experience with time-series forecasting using Prophet, ARIMA, or similar approaches
• Proficiency in Python and PySpark for large-scale data processing
• Experience with cloud platforms such as GCP, including BigQuery and Vertex AI