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Amii

Machine Learning Resident

Amii
🇨🇦In-Person - Edmonton, ABCA$70K–CA$100K/yr4mo ago

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.

Key Responsibilities: Design and optimize machine learning models for energy forecasting, preprocess datasets, improve ML pipelines, and collaborate with the project team and stakeholders on analytical solutions.
Skills & Tools: Strong background in machine learning with a focus on time-series analysis and forecasting, proficiency in Python, and experience with ML frameworks like PyTorch or TensorFlow.
Qualifications: Graduate degree in Computer Science or a related field with specialization in time-series analysis or energy forecasting required; experience with ML libraries and model performance optimization preferred.
Location: Edmonton, Alberta
Compensation: CA$70K–CA$100K/yr

Job Description

liETtVLaARqgmMEbYzHNNLIzUPcdfPrwhYtVK7Qa.png 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.

liETtVLaARqgmMEbYzHNNLIzUPcdfPrwhYtVK7Qa.png Responsibilities: Design and optimize machine learning models for energy forecasting, preprocess datasets, and collaboratively engage with stakeholders on analytical solutions.

liETtVLaARqgmMEbYzHNNLIzUPcdfPrwhYtVK7Qa.png 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.

liETtVLaARqgmMEbYzHNNLIzUPcdfPrwhYtVK7Qa.png 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.

liETtVLaARqgmMEbYzHNNLIzUPcdfPrwhYtVK7Qa.png Location: Hybrid-based in Edmonton, Alberta, Canada, with possible relocation support.

liETtVLaARqgmMEbYzHNNLIzUPcdfPrwhYtVK7Qa.png Compensation: $70000 - $100000 / Annually