Become a key player in SupplyGuard AI's mission as a Machine Learning Engineer. You'll develop and deploy AI models to assess supply chain risks and drive predictive analytics across diverse datasets. In this role, you will leverage your expertise to design machine learning models using Python and TensorFlow/PyTorch.

Collaborating with data scientists and domain experts, you will optimize deployment strategies and enhance accuracy. This position is vital for ensuring our AI models predict supplier failures and compliance risks proactively. Key Responsibilities:

- Design ML models for risk assessment and prediction
- Build data pipelines for real-time feature engineering
- Optimize model performance for production environments
- Collaborate on improving model accuracy
- Implement MLOps best practices including monitoring Requirements:
- 3+ years in ML systems with Python and TensorFlow/PyTorch
- Solid background in statistics and data science
- Experience with data engineering and ETL pipelines
- Knowledge of cloud ML platforms like AWS SageMaker
- Understanding of supply chain dynamics or willingness to learn Drive AI innovation and transform supply chain intelligence with your machine learning skills at SupplyGuard AI.

📌 Machine Learning Engineer at SupplyGuard AI (Toronto)
🏢 SupplyGuard
📍 Toronto