Data & ML Engineer
Core
Turn complex industrial data and domain knowledge into product capabilities for asset monitoring, optimization, and predictive maintenance.
Role type
Data & ML Engineer
Builds
Data pipelines, statistical models, and machine learning solutions for industrial applications
Domain
Industrial IoT / Predictive Maintenance
Deliverable
production ML models
Required skills
Python, SQL, statistical modeling, machine learning, data pipeline engineering, Git, testing, documentation
Preferred skills
Industrial/IoT/sensor data experience, predictive maintenance domain knowledge, production environment integration
Technologies
Python, SQL, Git
Responsibilities
Translate product challenges into data-driven solutions; analyze complex datasets to identify patterns and anomalies; develop and evaluate statistical/ML models for forecasting and optimization; build and improve data pipelines; implement maintainable solutions; evaluate performance and improve based on real-world results; make technical trade-off decisions.
Seniority
Mid-level, hands-on IC
