Minimum of 10+ years of post-graduate, international professional experience in research and/or software development.
Extensive knowledge and hands-on experience with Generative AI and large language models.
Demonstrated experience architecting and deploying large-scale cloud offerings, with a deep understanding of AI, Machine Learning, and Software Engineering principles.
Strong proficiency in programming languages such as Python, R, Java, or Scala, and experience with data science libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders.
Expertise in designing and implementing machine learning pipelines, including data preprocessing, feature engineering, model training, and evaluation.
Experience with distributed computing and big data technologies (e.g., Hadoop, Spark) to handle large datasets.
Knowledge of cloud platforms and services (e.g., AWS, Google Cloud, Azure) and experience deploying machine learning models in production environments.
Strong understanding of data governance, privacy, and security considerations in AI/ML projects.
Preferred:
Experience in delivering AI/ML solutions in the business applications space, particularly within enterprise software contexts.
Strong understanding of SAP’s ecosystem and cloud platform.
Experience with full lifecycle of AI/ML projects, from ideation and prototype development to production deployment and scaling.
Published research in top-tier AI/ML conferences or journals.