NavitasPartners - 456 Jobs
Toronto, ON
Posted today
Job Details:
Full-time
Experienced
Job Title : Machine Learning Engineer (Energy)Industry
Energy & Utilities
Position OverviewThe ML Engineer will develop and deploy machine learning models supporting predictive maintenance, energy demand forecasting, asset optimization, and renewable energy production analytics.
Responsibilities- Develop machine learning pipelines.
- Build predictive analytics solutions.
- Deploy ML models into production.
- Optimize model performance and monitoring.
- Collaborate with data scientists and engineers.
- Support AI-driven operational excellence programs.
- Python
- Machine Learning
- TensorFlow
- PyTorch
- Scikit-Learn
- Databricks ML
- Feature Engineering
- Model Deployment
- Predictive Maintenance
- Demand Forecasting
- Energy Load Optimization
- Renewable Energy Analytics
- 5+ years in Machine Learning Engineering.
- Must have prior Energy sector experience.
For more details reach at [email protected]
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Frequently Asked Questions
This is a full-time position located in Toronto, ON.
The role supports the energy and utilities sector, focusing on predictive maintenance, energy demand forecasting, asset optimization, and renewable energy production analytics.
Required skills include Python, machine learning, TensorFlow, PyTorch, Scikit-Learn, Databricks ML, feature engineering, and model deployment.
Applicants need 5+ years of experience in machine learning engineering, and prior energy sector experience is mandatory.
You will develop ML pipelines, build predictive analytics solutions, deploy ML models into production, optimize model performance and monitoring, and collaborate with data scientists and engineers.
Preferred skills include predictive maintenance, demand forecasting, energy load optimization, and renewable energy analytics.
For more details, reach [email protected].
