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Role Snapshot
Join Enerva as a Machine Learning Resident for a one-year paid position focused on designing and optimizing machine learning models for energy consumption modeling and forecasting, with mentorship from top AI experts.
Job Description
Fast Facts
Join Enerva as a Machine Learning Resident for a one-year paid position focusing on energy consumption modeling and forecasting with guidance from top AI experts.
Responsibilities: Design and optimize machine learning models for energy forecasting, preprocess datasets, and collaboratively engage with stakeholders on analytical solutions.
Skills: Strong background in machine learning with a focus on time-series analysis, proficiency in Python, and experience with ML frameworks like PyTorch or TensorFlow.
Qualifications: A graduate degree in Computer Science or a related field with a specialization in time-series analysis or energy forecasting is required; experience with ML libraries is preferred.
Location: Hybrid-based in Edmonton, Alberta, Canada, with possible relocation support.
Compensation: $70000 - $100000 / Annually

