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 RoleAs 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 ResponsibilitiesDesign and implement ML models for risk assessment and prediction using Python, TensorFlow/PyTorchBuild data pipelines for real-time feature engineering from multiple data sourcesOptimize model performance and deployment strategies for production environmentsCollaborate with data scientists and domain experts to improve model accuracyImplement MLOps best practices including model versioning, monitoring,
and A/B testingDevelop APIs for model serving and integration with our platformResearch and implement current ML techniques for supply chain applicationsWhat You'll Bring3+ years experience with Python, TensorFlow/PyTorch in production ML systemsStrong background in statistics, machine learning, and data scienceExperience with data engineering, ETL pipelines, and big data technologiesKnowledge of cloud ML platforms (AWS SageMaker, Azure ML) and MLOps toolsExperience with production ML model deployment and monitoringUnderstanding of supply chain domain or willingness to learn quicklyExperience with real-time data processing and streaming analyticsAccess to cutting-edge AI/ML tools and infrastructureConference attendance and training opportunities in ML/AICompetitive salary with equity options in a growing AI companyFlexible work hours and remote optionsCollaboration with leading AI researchers and domain expertsOpportunity to publish research and contribute to open sourceDirect impact on global supply chain risk managementInterested in this role?Join our team and help us revolutionize supply chain intelligence. #J-18808-Ljbffr