Cencora is expanding its capabilities in artificial intelligence and machine learning and needs to cultivate early-career talent to support and grow its AIPS initiatives. The AI/ML Engineering Intern role will support the technical operations of platforms like CenChat and GenIE Platform.
Requirements
- Exposure to or coursework in AI/ML, Deep Learning, or Computer Vision.
- Familiarity with ML frameworks such as TensorFlow, Keras, PyTorch, or Scikit-learn.
- Basic understanding of cloud platforms and data engineering concepts.
- Experience or coursework in Agile/DevOps tools like Azure DevOps or Jenkins is a plus.
Responsibilities
- Assist in designing and testing prototypes for scalable machine learning infrastructure.
- Support the development of MLOps practices including model training, packaging, deployment, and monitoring.
- Help build and maintain pipelines for ML operations and infrastructure automation.
- Collaborate with AI Architects and ML Engineers to support successful deployment of AI/ML workloads.
- Learn and apply AI algorithms while adhering to architectural standards.
- Participate in troubleshooting and resolving technical issues within ML platforms.
- Analyze business processes and data flows to support model development under guidance.
Other
- Currently pursuing a Bachelor’s degree in Computer Science or related field, entering senior year.
- Must not require sponsorship to work in the US, now or in the future
- Strong written and verbal communication skills.
- Ability to work in a fast-paced, collaborative environment.
- Passion for AI/ML and enthusiasm for learning new technologies.
