AI & Digital Manufacturing Intern

Zoetis • Kalamazoo, MI

4d

About The Position

The intern will partner closely with the Supply Chain, Manufacturing Operations, and Process Excellence teams to support Industry 4.0 initiatives by identifying manual processes, developing AI-powered automation solutions, and implementing digital tools that enhance manufacturing efficiency, quality, and data-driven decision-making across pharmaceutical production operations.

Requirements

• Pursuing a Bachelor’s degree in Information Technology, Computer Science, Business, Supply Chain Management, Logistics or related field.
• Experience with Python programming, data analytics (SQL, Excel, Power BI), AI/ML frameworks (TensorFlow, scikit-learn), RPA tools (UiPath, Power Automate), or manufacturing systems (MES, LIMS, SAP) strongly preferred.
• Excellent communication skills with the ability to translate technical concepts to manufacturing operators, quality personnel, and cross-functional stakeholders.
• Strong problem-solving mindset with analytical thinking and attention to detail—critical for pharmaceutical manufacturing environments.
• Ability to work in a regulated pharmaceutical environment with a focus on data integrity, quality, and compliance (GMP awareness is a plus).
• Enthusiasm for Industry 4.0, smart manufacturing, and leveraging emerging technologies to drive operational excellence and continuous improvement.

Nice To Haves

• Familiarity with IoT sensors, computer vision, predictive maintenance, digital twins, or manufacturing execution systems (MES) is a plus.

Responsibilities

• Collaborate with manufacturing, quality, and supply chain teams to identify manual, time-intensive processes across production lines, laboratories, and warehouse operations that are candidates for automation and digitization.
• Design and develop automation solutions using Python, RPA platforms (e.g., UiPath, Power Automate), AI/ML models, computer vision for quality inspection, and low-code platforms to streamline manufacturing workflows and reduce manual data entry.
• Analyze manufacturing process workflows, batch records, and production data to identify bottlenecks, inefficiencies, and opportunities for predictive analytics, real-time monitoring, and smart factory technologies.
• Develop user-friendly documentation, standard operating procedures (SOPs), and training materials for automation solutions to ensure successful adoption by manufacturing personnel and compliance with regulatory requirements.

What This Job Offers

• Career Level: Intern
• Number of Employees: 5,001-10,000 employees