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iTradeNetwork is seeking an AI/ML Engineer to architect and deploy intelligent systems that drive smarter decision-making across the food supply chain, addressing challenges in supply chain optimization, forecasting, and data anomaly detection.

Requirements

• Python, SQL, TensorFlow, PyTorch, Scikit-learn, XGBoost
• Oracle, BigQuery, Spark, Airflow, Pandas, dbt
• MLflow, Docker, Kubernetes, GitHub Actions, Terraform
• GCP (BigQuery, Vertex AI, Dataflow, Cloud Functions), AWS (SageMaker)
• Experience with real-time inference, large-scale batch predictions, and model retraining workflows
• Expertise in supervised and unsupervised learning, time-series forecasting, classification, and clustering
• Strong software engineering fundamentals: version control, testing, documentation

Responsibilities

• Design, develop, and deploy ML models and pipelines that are scalable, interpretable, and optimized for real-world use cases in supply chain optimization, forecasting, and data anomaly detection.
• Collaborate with product managers, engineers, and data scientists to integrate models into customer-facing applications and services.
• Create data pipelines and transformations using tools like BigQuery, Airflow, and Spark.
• Train and optimize classical and deep learning models using Python, TensorFlow, PyTorch, XGBoost, and Scikit-learn.
• Apply rigorous testing, A/B experimentation, and performance benchmarking.
• Operationalize ML models using Docker, Kubernetes, and CI/CD pipelines on GCP.
• Build and maintain robust MLOps workflows that enable reproducibility, model versioning, and automated retraining using MLflow or similar frameworks.

Other

• 5+ years of experience building and deploying machine learning solutions in production
• Proven ability to translate business problems into machine learning problems—and solve them
• Ability to explain complex ML concepts to technical and non-technical audiences
• Candidates must be located in the hub(s) listed.
• Must be able to demonstrate lawful ability to work in the United States