Design, develop, and deploy machine learning models to address complex business challenges.
Collaborate with cross-functional teams to gather requirements, define data pipelines, and deliver impactful AI solutions.
Implement, optimize, and maintain ETL processes for productive data ingestion, transformation, and management.
Utilize Python and relevant libraries to create clean, efficient, and reusable code for AI and machine learning applications.
Continuously monitor, evaluate, and enhance the performance and accuracy of deployed models.
Document processes, methodologies, and model decisions to ensure transparency and reproducibility.
Requirements Have expert-level proficiency in machine learning techniques and algorithms.
Possess advanced programming skills in Python and its data science ecosystem, including libraries such as NumPy, pandas, and scikit-learn.
Have hands‑on experience designing and managing ETL workflows in production environments.
Have a strong understanding of data preprocessing, feature engineering, and model evaluation metrics.
Demonstrate a proven ability to collaborate and thrive in remote, distributed team settings.

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📌 Machine Learning Engineer | Remote (Manitoba)
🏢 Crossing Hurdles
📍 Manitoba