SupplyGuard AI equips mid-market manufacturers with advanced risk intelligence solutions for managing supply chain challenges. By integrating real-time monitoring, AI-driven risk scoring, and pre-vetted supplier matching, the company provides tailored, enterprise-grade solutions. With a focus on innovation, SupplyGuard helps clients enhance supply chain resilience and streamline operations. Their customizable platform meets the unique needs of each business, fostering better decision-making and minimizing risks.
This is a full-time remote role for a Machine Learning Engineer. The Engineer will design, develop, and deploy machine learning models, with a focus on solving complex supply chain challenges. Responsibilities include working on pattern recognition, building and optimizing algorithms, developing and training neural networks, and applying statistical methods to enhance AI-driven solutions. Collaboration with cross-functional teams to implement and scale these models will also be an integral part of this role.
- Strong foundation in Computer Science, Algorithms, and Data Structures
- Proficiency in designing and implementing Neural Networks
- Experience in Pattern Recognition and developing predictive models
- Strong knowledge of Statistics and its application in analyzing data for machine learning
- Familiarity with machine learning frameworks such as TensorFlow or PyTorch
- Ability to work collaboratively in a team and manage remote communication effectively
- Bachelor's or Master's degree in Computer Science, Mathematics, or related field
- Experience in the supply chain or manufacturing sector is a plus