Job Description

Responsibilities

AI Opportunity Identification:

• Analyze manufacturing workflows and operational data to uncover areas where AI can drive efficiency, reduce waste, and improve quality.
• Collaborate with cross-functional teams to prioritize AI use cases based on business impact and feasibility.
• Conduct feasibility studies and ROI assessments for AI initiatives.

Requirements Gathering & Translation:

• Work closely with area Managers, Engineers, and IT teams to gather detailed business requirements.
• Translate operational needs into clear, actionable specifications and Business requirements for data science and development teams.

AI Solution Design & Implementation

• Partner with data scientists and engineers to develop and deploy AI models (e.g., predictive maintenance, defect detection, demand forecasting).
• Ensure AI solutions integrate with MES, ERP, and other Mfg. systems.
• Support the development of data pipelines and ensure data integrity for model training and inference.

Stakeholder Engagement

• Act as a liaison between plant personnel and technical teams.
• Present findings and recommendations in a clear, business-friendly manner.
• Provide training and support on AI tools and dashboards.

Standardization & Scalability:

• Develop frameworks and templates to standardize AI solutions across multiple manufacturing sites.
• Promote best practices for AI deployment, monitoring, and continuous improvement.

Project Management

• Lead AI-related projects from concept to deployment.
• Track milestones, manage risks, and ensure timely delivery.
• Document lessons learned and contribute to AI best practices.

Required Experience

• Bachelor Degree: Computer Systems Engineering, Industrial Engineering, Computer Science or related.

• 3+ years in business analysis or operations analytics, preferably in a mfg. environment.

• Hands-on experience with AI/ML projects (e.g., computer vision, predictive analytics).

• Familiarity with mfg systems (MES, SCADA, ERP) and data platforms (SQL, Power BI).

• Experience with process mapping, root cause analysis, and continuous improvement, methodologies (e.g., Lean, Six Sigma).

Knowledge / Skills / Abilities

• English 80%

• JIRA, Phyton, Azure machine learning, SQL, Power BI, Office Windows: Word, Excel, Power Point, Visio.

• Development tools. Visual Studio .NET core is a a plus.

• RPA tools, SCADA systems, MES (Mfg. execution Systems)

Medline Industries, LP is an equal opportunity employer. Medline evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, disability/handicap status or any other legally protected characteristic.