Algorithm Development: Design, develop, and implement Generative AI algorithms and models to solve complex business problems in supply chain management and retail optimization.
Data Generation: Generate synthetic data and create realistic simulations using Generative AI techniques, ensuring accuracy, diversity, and relevance to real-world scenarios.
Model Training and Optimization: Train and optimize Generative AI models using large-scale datasets, fine-tuning parameters and architectures to achieve desired performance and fidelity.
Integration and Deployment: Integrate Generative AI models into Blue Yonder’s products and platforms, ensuring seamless operation and compatibility with existing systems and infrastructure.
Performance Monitoring and Analysis: Monitor the performance of Generative AI models in production environments, analyze results, and iterate on improvements to enhance accuracy, efficiency, and scalability.
Research and Innovation: Stay abreast of the latest developments in Generative AI research and techniques and explore new opportunities for applying Generative AI to solve business challenges and drive innovation.
Collaboration and Documentation: Collaborate with cross-functional teams, including data scientists, engineers, product managers, and business stakeholders, to define requirements, iterate on solutions, and drive projects to completion. Document code, algorithms, and methodologies for reproducibility and knowledge sharing.
Skills Required
Machine Learning
Python
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Blue Yonder is the world leader in digital supply chain transformations and omni-channel commerce fulfillment. Our end-to-end, cognitive business platform enables retailers, manufacturers and logistics providers to best fulfill customer demand…
