This is a temporary contractor position.

Job Overview We are seeking a highly analytical and technically proficient Machine Learning Engineer to design, build, and deploy ML solutions that power predictive analytics, anomaly detection, and operational insights across Hydro One's data ecosystem. This role is ideal for someone with a strong foundation in mathematics, statistics, and programming, and a passion for applying AI/ML to solve complex operational challenges.

You will work on AMI data-driven models, NLP for ServiceNow analytics, and network reliability forecasting, leveraging Azure-based infrastructure for scalable deployments and many other high-impact data science projects driving operational efficiency and customer experience improvements.

What You Will Do

Clean, transform, and manage large structured, semi-structured, and unstructured datasets.

Perform feature selection and feature engineering for time-series, clustering, and anomaly detection.

Design and develop machine learning models (Supervised, Unsupervised, and Reinforcement Learning) and deep learning models (e.g., Neural Networks, autoencoders).

Build predictive models for overloaded/underloaded metering detection, temperature anomaly monitoring, equipment replacement forecasting, and network health analysis etc.

Apply NLP techniques to categorize and interpret ServiceNow inquiries, identify recurring issues, and generate thematic insights.

Testing & Optimization

Run ML tests and experiments, train and retrain systems to prevent drift and optimize results.

Implement evaluation metrics, monitor performance,



and ensure models meet quality and compliance standards.

Advanced Analytics & Insights

Conduct large-scale analysis to discover patterns and trends using statistical and ML techniques.

Perform regression, attribution modeling, variable importance analysis, and causality studies.

Work closely with data engineers, ML engineers, and business partners to deliver production-ready solutions.

Document workflows and provide clear technical guidelines for maintainability.

Required Qualifications

Master's or Ph.D. in Mathematics, Statistics, Computer Science, Data Science, or related field.

3+ years? experience in ML engineering or data science roles.

Strong proficiency in Python, SQL, and ML frameworks (Scikit-learn, XGBoost, TensorFlow, PyTorch).

Hands-on experience with feature engineering, feature selection, and data cleaning.

Expertise in time-series modeling, anomaly detection, and predictive maintenance.

Experience with NLP techniques for text classification and sentiment analysis.

Familiarity with Azure Machine Learning, MLOps, and CI/CD pipelines.

Having experience of building end-to-end applications in production.

Nice to have Knowledge of AMI systems, utility data models, and ServiceNow analytics.

Preferred Skills

Robust problem-solving mindset with ability to debug, optimize, and deliver robust solutions.

Excellent communication skills to explain complex models to non-technical stakeholders.

This is a hybrid role requiring the contractor to be on site at least 2 days per week at the Hydro One office in Toronto, ON.

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📌 ML Engineer (Winnipeg)
🏢 Hydro One
📍 Winnipeg