2496 SAP Technical Consultant (Advanced)

RESPONSIBILITIES: - The AI Engineer is a versatile and highly skilled professional responsible for leveraging advanced data analytics, machine learning, and artificial intelligence techniques to drive business insights, optimize operations, and deliver innovative solutions. - This role encompasses a wide range of responsibilities, from creating data mining architectures and statistical models to implementing AI-powered prompt engineering strategies. 1. Data Analytics and Modelling: - Create data mining architectures, models, and protocols to identify trends and patterns in large data sets across various business functions, including market economics, supply chain, marketing, and scientific research. - Apply advanced statistical and data analysis methodologies to derive actionable insights that inform business decisions. - Research and stay up to date with emerging data science principles, theories, and techniques to continuously enhance the organization's analytical capabilities. 2. Machine Learning and AI Integration: - Develop and implement machine learning (ML) or other artificial intelligence (AI) techniques to solve business problems and derive actionable insights. - Architect and implement prompt engineering strategies, leveraging advanced Natural Language Processing (NLP) techniques, to guide and control the behavior of AI language models. - Collaborate with cross-functional teams to refine the prompt generation process and align the AI system's output with broader organizational goals and user needs. 3. AI-Powered Content Generation: - Craft, refine, and optimize the generation of AI-generated text prompts to ensure they are contextually accurate, engaging, and relevant for a wide array of applications, from conversational agents to automated content creation. - Apply machine learning methodologies, including training data curation, feature engineering, model evaluation, and hyperparameter tuning, to continually improve the performance of AI systems. - Knowledge and experience with use of Large Language Models (LLM) and Retrieval Augmented Generation (RAG) pipelines 4. AI System Integration and Deployment: - Integrate AI systems and models into existing applications and processes, ensuring seamless integration and optimal performance. - Develop strategies and frameworks for deploying AI solutions at scale, addressing challenges related to scalability, reliability, and security. - Collaborate with software engineers and IT teams to ensure the successful implementation and maintenance of AI-powered systems. 5. Stakeholder Engagement and Collaboration: - Provide guidance and support to help the organization leverage data-driven decision-making and AI-enabled capabilities. - Collaborate with subject matter experts and domain specialists to understand business requirements and translate them into effective AI solutions. - By combining advanced data analytics, machine learning, and AI integration, the AI Engineer plays a crucial role in transforming the organization's data assets into innovative, AI-driven solutions that drive strategic decision making, operational excellence, and competitive advantage. QUALIFICATIONS/EXPERIENCE: - Bachelors degree in Computer Science, Software Engineering, or similar qualification. - 3+ years experience in developing in Python. - Strong background in software development, mathematics, and good analytical and problem-solving skills. - Experience in AI Solutions Submit your CV to: