DescriptionThis project involves creating a strategic roadmap of AI use cases tailored to benefit GCID within SAP, ensuring a clear pathway for AI integration and innovation. By developing this roadmap, the BDE AI Incubation Team will enable GCID to scale its AI capabilities, increasing the capacity to deliver working solutions for real-life applications.The project emphasizes the development of AI use cases that directly address GCID's operational needs, ensuring practical and impactful outcomes.Through the implementation of these AI use cases, GCID will achieve tangible business results, driving efficiency, innovation, and competitive advantage within SAP.Scope of Services / DeliverablesDevelop, integrate, and deploy AI models and solutions into our applications and services.Design and implement APIs, microservices, and data pipelines to support AI workflows.Collaborate with data scientists, AI architects, and engineers to deliver end-to-end AI solutions.Ensure the performance, scalability, and security of AI integrations.Troubleshoot and optimize AI systems, and provide technical support to resolve issues.Stay up-to-date with the latest trends and best practices in full-stack development and AI integration.Contribute to the development and maintenance of our AI technology stack and tools.Skills(SAP Experience 3+ years)Strong proficiency in full-stack development, with experience in both front-end (e.g., React, Angular) and back-end (e.g., Node.js, Python, Java) technologies.Experience with RESTful APIs, microservices, and containerization technologies (e.g., Docker, Kubernetes).Familiarity with AI frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and experience integrating AI models into applications.Solid understanding of databases and data processing technologies (e.g., SQL, NoSQL, Spark).Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and CI/CD pipelines.Excellent problem-solving skills and attention to detail.Strong communication and collaboration skills to work effectively with cross-functional teams.Ability to learn and adapt to new technologies quickly.Experience with AI ops and MLOps practices is a plus.
