Teams at Cummins

Develops and deploys statistical, predictive, and machine learning solutions to solve business problems. Responsibilities include preparing and profiling large datasets, designing and validating algorithms, conducting statistical modeling, communicating findings to stakeholders, and collaborating with domain experts. The role requires production machine learning experience, programming in Python and SQL, cloud and big-data expertise, model deployment, testing, and familiarity with modern AI, MLOps, and GenAI technologies.

Provides administrative support for customer order management, including order entry, parts allocation, export and shipping documentation, data maintenance, cleansing, customer setup, credit and debit administration, and internal reporting. Works under supervision to ensure accurate and timely order processing, maintain system data quality, support order lifecycle activities, and identify process improvements. Requires basic Microsoft Office skills, communication abilities, and preferably exposure to order management, customer service, supply chain, or ERP systems.

Designs and documents integrated technology solutions by analyzing business and technical requirements, defining architectures, validating integrations, supporting testing, configuring systems, and implementing data migrations. Collaborates with stakeholders, vendors, infrastructure teams, and service providers to resolve issues and ensure quality, security, privacy, performance, scalability, and compliance. Maintains technical documentation, participates in design and cybersecurity reviews, supports application projects, and identifies opportunities for process and solution improvements.