SupplyGuard AI leverages advanced machine learning to predict supply chain risks before they become crises. Our AI models analyze thousands of data sources including financial reports, news feeds, regulatory changes, and trade data to provide early warning systems for supply chain disruptions. Were building the most sophisticated supply chain intelligence platform in the market.

About This Role

As a Machine Learning Engineer, youll be responsible for developing and deploying AI models that power our risk assessment and prediction capabilities. Youll work with large-scale datasets from multiple sources to build models that can accurately predict supply chain disruptions, supplier failures, and compliance risks.

Key Responsibilities

• Design and implement ML models for risk assessment and prediction using Python, TensorFlow/PyTorch
• Build data pipelines for real-time feature engineering from multiple data sources
• Optimize model performance and deployment strategies for production environments
• Collaborate with data scientists and domain experts to improve model accuracy
• Implement MLOps best practices including model versioning, monitoring,
  
  
  
  and A/B testing
• Develop APIs for model serving and integration with our platform
• Research and implement new ML techniques for supply chain applications

What Youll Bring

• 3+ years experience with Python, TensorFlow/PyTorch in production ML systems
• Strong background in statistics, machine learning, and data science
• Experience with data engineering, ETL pipelines, and big data technologies
• Knowledge of cloud ML platforms (AWS SageMaker, Azure ML) and MLOps tools
• Experience with production ML model deployment and monitoring
• Understanding of supply chain domain or willingness to learn quickly
• Experience with real-time data processing and streaming analytics

Conference attendance and training opportunities in ML/AI

Market-competitive salary with equity options in a growing AI company

Flexible work hours and remote options

Collaboration with leading AI researchers and domain experts

Opportunity to publish research and contribute to open source

Direct impact on global supply chain risk management

Interested in this role?

Join our team and help us revolutionize supply chain intelligence.