AI Integration Specialist

Job Description : Key Responsibilities:

1. Custom GPT System Development:
   • Design, build, and refine a custom GPT system to automate tasks like bank reconciliation, data summarization, and financial reporting.
   • Integrate the GPT system with SAP modules (e.g., FICO, inventory management, and production planning).
   • Enable natural language queries for SAP data access and insights.
2. AI Integration and Automation:
   • Automate repetitive business processes (e.g., inventory tracking, reporting, and order management).
   • Research and implement AI tools like OpenAI, TensorFlow, or RPA platforms (e.g., UiPath, Zapier).
   • Create intuitive dashboards and generate real-time business insights using AI analytics.
3. Collaboration and Optimization:
   • Collaborate with the founder to brainstorm AI-based solutions and prioritize projects.
   • Conduct testing and optimize AI tools for accuracy, efficiency, and scalability.
   • Train team members on using AI-driven systems to ensure smooth adoption.
4. Market Research and Scalability:
   • Research AI applications and best practices in footwear manufacturing and SAP integration.
   • Identify scalable solutions to commercialize AI systems for other businesses and industries.
5. Staying Ahead of the Competition:
   • Stay updated with the latest advancements in AI technology to ensure the business remains at the forefront of innovation.
   • Continuously explore and recommend new tools, frameworks, and methodologies to enhance business processes and competitiveness.
6. End-to-End AI Integration:
   • Identify all potential areas within the business that can benefit from AI integration, including supply chain, customer interactions, and production workflows.

• Proficiency in Python and API integrations (experience with OpenAI API is a plus).
• Familiarity with SAP modules and tools like OData or SAP BTP.
• Hands-on experience with automation tools like Zapier, UiPath, or Make (formerly Integromat).
• Strong analytical and problem-solving skills.
• Excellent communication skills for collaboration and documentation.
• A proactive mindset with a passion for learning and innovation.

• Experience in AI applications for manufacturing (e.g., predictive maintenance, quality control).
• Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch).