Senior Data Engineer / Machine Learning Engineer

📋 Description

• Design and build scalable data ingestion pipelines for grid, telemetry, geospatial data.
• Create clean, versioned datasets for ML training and analytics.
• Develop canonical data models for grid topology and asset relationships.
• Ensure data quality, lineage, reproducibility, and observability.
• Engineer temporal, spatial, and relational features across data.
• Build end-to-end ML pipelines: ingestion → features → training → deployment.

🎯 Requirements

• 5-7+ years in data engineering, ML engineering, or applied ML.
• Proven production ML deployments (not just notebooks).
• Strong time-series forecasting, anomaly detection, and temporal features.
• Deep proficiency in Python and modern data/ML libraries.
• Experience building scalable batch and streaming pipelines.
• Strong systems thinking across end-to-end data and model lifecycles.