AI & Digital Manufacturing Intern

States considered:

Michigan

Role Description:

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.

INTERNSHIP TITLE (ALL CAPS AND BOLD)

Location: City State

AI & Digital Manufacturing Intern

KALAMAZOO MICHIGAN

Internship Summary:

2-3 Sentences

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

Internship Job Duties:

• 5 Bullet Points

• 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.

Internship Qualifications:

3-5 Bullet Points must include specific degree requirements (degree and majors/specializations)

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

The following hourly pay rates reflect the anticipated base pay for this position:

If the selected candidate is a student pursuing an Associate-level degree: $16.00 per hour

If the selected candidate is a student pursuing an Undergraduate-level degree: $20.00 per hour

If the selected candidate is a student pursing a Graduate-level degree: $32.50 per hour

If the selected candidate is a student pursuing a Doctorate-level degree: $36.00 per hour

The following hourly pay rates reflect the anticipated base pay for this position if a selected candidate were to be located in California Connecticut District of Columbia Illinois (Chicago area) Massachusetts New Jersey New York Washington (Seattle area):

Student pursuing an Associate-level degree: $17.00 per hour

Student pursuing an Undergraduate-level degree: $22.00 per hour

Student pursing a Graduate-level degree: $36.40 per hour

Student pursuing a Doctorate-level degree: $40.30 per hour

Full time

Intern (Trainee)

Colleague

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