Senior Machine Learning Engineer at Power Factors

Location: Brossard

Elevate green energy solutions as a Senior Machine Learning Engineer with Power Factors. This hybrid role involves developing foundational models and optimizing training for renewable energy analytics.

As a crucial member of the Innovation team, you will lead advanced initiatives utilizing time-series data in machine learning. Your focus will be on model design and validation to drive business value for renewable energy applications. Collaborate closely with data engineers and product teams to align technical architecture with real-world needs and insights.

Key Responsibilities:

• Own architecture decisions for time-series models

• Design tokenization strategies for multi-modal training

• Establish scaling estimates for fleet capacity needs

• Track and translate literature into training context

• Create frameworks to validate business use cases

Requirements:

• 5+ years of ML engineering experience

• Expertise in time-series modeling methodologies

• Proven track record in training transformer-based models

• Strong skills in Python and PyTorch or JAX

• Background in MLOps and reproducible pipelines

Leverage your machine learning expertise to impact renewable energy systems and innovations at Power Factors.
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