
AI Integration Specialist
4 weeks ago
Key Responsibilities:
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
Develop and implement AI-driven solutions to connect and optimize various functions, creating a fully integrated AI ecosystem.
Job Specification:Qualifications:
- 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.
Bonus Skills:
- Experience in AI applications for manufacturing (e.g., predictive maintenance, quality control).
- Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch).
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