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Machine Learning Engineer (Energy) MLEEAS
Job Location:
Monthly Salary:
Posted:
6 June 2026 (30+ days ago)
Posted:
Application Deadline:
3 September 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Job 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
Required Experience:
IC
