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SAP AI Business Services Consultant

Skills : Senior lead with broad understanding of AI space and expertise in creating/ holding executive briefings. 12+ years of experience with a high-level individual contributor or lead researcher responsible for architecting the core intelligence of a product Architectural Leadership: Design and lead the development of end-to-end ML systems, from data ingestion to MLOps orchestration and real-time inference. State-of-the-Art (SOTA) Implementation: Stay ahead of the curve in Generative AI, Computer Vision, or NLP, adapting the latest research papers into production-ready features. Optimization & Scaling: Solve complex bottlenecks related to model latency, cost-efficiency (e.g., quantization, pruning), and large-scale distributed training. Technical Mentorship: Review code and model architectures, setting the standard for rigorous testing, evaluation frameworks, and Responsible AI practices. Cross-Functional Strategy: Partner with Product and Engineering leads to determine the technical feasibility of "moonshot" AI features 1. Languages: Expert- level Python, C++, or Java. 2. Frameworks: PyTorch, TensorFlow, JAX.

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