Machine Learning Engineer (Energy) - MLEEAS at NavitasPartners — NeverHard
Machine Learning Engineer (Energy) - MLEEAS at NavitasPartners in Surrey, Greater Vancouver. Skills: Databricks Platform, Machine Learning, Model deployment, Predictive Maintenance, PyTorch. Apply on NeverHard.
Company
NavitasPartners
Location
Surrey, Greater Vancouver
Type
full_time
Required skills:
Databricks Platform
Machine Learning
Model deployment
Predictive Maintenance
PyTorch
Python
Renewable Energy Analysis
TensorFlow
demand forecasting
energy optimization
Job DescriptionJob DescriptionJob Title : Machine Learning Engineer (Energy)Industry
Energy & Utilities
Position Overview
The 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.
Required Skills
Python
Machine Learning
TensorFlow
PyTorch
Scikit-Learn
Databricks ML
Feature Engineering
Model Deployment
Preferred Skills
Predictive Maintenance
Demand Forecasting
Energy Load Optimization
Renewable Energy Analytics
Mandatory Experience
5+ years in Machine Learning Engineering.
Must have prior Energy sector experience.
For more details reach at resumes@navitassols.com