Lead AI and Internal Model Developer

About the job

AI Platform and internal model development - Lead the design and development of an enterprise AI model using internal company data that delivers actionable insights and automated alerts. - Build intelligent monitoring and exception-detection capabilities across SAP, e-commerce, IT security and other business applications. - Establish scalable pipelines for continuous data ingestion, model training, evaluation and deployment. Business Understanding & Problem Framing - Engage closely with business teams to understand objectives, pain points, KPIs and decision workflows. - Translate business requirements into structured AI/ML problems using strong analytical and consulting skills. - Explore and analyse datasets to uncover hidden patterns and develop hypotheses that shape AI solutions. Generative AI, NLP & LLM Development - Lead development and deployment of Generative AI, NLP and LLM-based solutions tailored to business use cases. - Build POCs and scalable solutions across functions such as operations, finance, supply chain, e-commerce, customer service and IT. - Apply fine-tuning, prompt engineering, vector databases and domain-specific adaptation techniques. Stakeholder Interaction - Prepare and present solution proposals, models, dashboards and POCs to leadership and key stakeholders. - Clearly articulate the impact and feasibility of AI solutions using storytelling and data-driven narratives. - Demonstrate the relevance and effectiveness of Generative AI applications across multiple business domains. Engineering, Cloud & MLOps Integration - Integrate AI and ML models into enterprise systems across Azure, AWS, GCP or on-premise environments. - Work closely with application, DevOps and IT teams to build robust MLOps pipelines ensuring automation, monitoring and lifecycle management. - Oversee continuous improvement, productionisation and scaling of AI solutions.