AI/ML Engineering Intern
About The Position
The AI/ML Engineering Intern role at Cencora is designed for senior-year undergraduate students to gain hands-on experience in real-world AI/ML projects. This position supports the technical operations of platforms like CenChat and GenIE Platform, contributing to Cencora’s expanding capabilities in artificial intelligence and machine learning. The intern will work alongside Cognitive Architects, Business Analysts, and internal stakeholders, gaining exposure to intelligent assistants and cutting-edge machine learning and automation technologies. Cencora seeks a curious, motivated intern with a passion for AI/ML, eager to learn and contribute to projects in a collaborative environment, thereby cultivating early-career talent for its AIPS initiatives.
Requirements
- 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.
- 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.
- 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.
- Self-motivated and intellectually curious.
- Ability to research and evaluate technical solutions independently.
- Comfortable with ambiguity and adaptable to changing requirements.
- Strong team player with good interpersonal skills.
- Detail-oriented with solid organizational skills.
- Ability to communicate effectively with both technical and non-technical audiences.
Nice To Haves
- 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.
- Contribute to the development of analytical models that support business growth.
- Help promote adoption of ML solutions using explainable AI techniques.
Benefits
- Compensation
- Benefits
- Resources that enable a highly inclusive culture
- Support for team members’ ability to live with purpose every day
- Medical care
- Dental care
- Vision care
- Comprehensive suite of benefits that focus on the physical, emotional, financial, and social aspects of wellness
- Support for working families, which may include backup dependent care
- Adoption assistance
- Infertility coverage
- Family building support
- Behavioral health solutions
- Paid parental leave
- Paid caregiver leave
- Variety of training programs
- Professional development resources
- Opportunities to participate in mentorship programs
- Employee resource groups
- Volunteer activities
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What This Job Offers
Job Type
Full-time
Career Level
Intern
