Loading...
SeniorFull-timePythonMachine LearningML
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for an English-fluent Data Engineer / Machine Learning Engineer to join GoFasti, a Talent-as-a-Service company that connects world-class developers with global companies. This remote position requires exceptional communication skills and a proactive approach to learning.
Key Responsibilities
- →Design and build scalable data ingestion pipelines for diverse sources including grid and market data, geospatial data, weather and environmental data, and time-series load and generation data.
- →Create clean, versioned, query-able datasets suitable for both ML training and analytics.
- →Develop canonical data models and schemas representing grid topology and asset relationships.
- →Ensure data quality, lineage, reproducibility, and observability across pipelines.
- →Engineer temporal, spatial, and relational features across heterogeneous datasets.
- →Build representations that capture network topology, time-dependent behavior, and physical constraints.
- →Collaborate with physics-based modeling efforts and integrate outputs into ML workflows.
- →Train and deploy time-series forecasting models for load, renewable generation, and grid conditions.
- →Implement models ranging from classical statistical methods to modern ML approaches.
- →Evaluate models rigorously using real-world performance metrics.
- →Design end-to-end ML pipelines from data ingestion to deployment and monitoring.
- →Build reliable inference pipelines that support near-real-time and batch workflows.
- →Implement model versioning, automated retraining, drift detection, and performance monitoring.
- →Work closely with product and platform engineers to integrate ML outputs into customer-facing systems.
Requirements
- ✓5-7+ years of experience in data engineering, ML engineering, or applied ML roles.
- ✓Proven experience deploying ML systems into production.
- ✓Strong background in time-series data, including forecasting and temporal feature engineering.
- ✓Deep proficiency in Python and modern data/ML libraries.
- ✓Experience building scalable data pipelines (batch and streaming).
- ✓Strong systems thinking and ability to reason about end-to-end data and model lifecycles.
- ✓Leadership experience.
Benefits
- ★Competitive salary range from $4,000 to $5,500 per month, depending on seniority and skillset.
