Machine Learning Engineer
3 days ago
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. We're building the most sophisticated supply chain intelligence platform in the market.
About This Role
As a Machine Learning Engineer, you'll be responsible for developing and deploying AI models that power our risk assessment and prediction capabilities. You'll 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 You'll 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
Access to cutting-edge AI/ML tools and infrastructure
Conference attendance and training opportunities in ML/AI
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.
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