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Applied Data Scientist - Generative AI - SAP
Data Scientist
Develop and deploy generative AI models that drive business insights, leveraging Python, deep learning frameworks, and cloud services to create scalable, production‑ready solutions for enterprise customers.
About the role
Key Responsibilities
- Design, implement, and fine‑tune generative AI models (e.g., diffusion, transformer‑based) for enterprise use cases.
- Collaborate with product and engineering teams to integrate AI solutions into cloud‑native platforms.
- Develop data pipelines and preprocessing workflows to support large‑scale model training.
- Conduct experiments, evaluate model performance, and iterate based on quantitative metrics.
- Document methodologies, create reproducible notebooks, and present findings to technical and non‑technical stakeholders.
Requirements
- Strong proficiency in Python and experience with deep learning libraries such as TensorFlow or PyTorch.
- Hands‑on experience building and deploying generative AI models in a production environment.
- Solid understanding of machine learning fundamentals, statistical analysis, and data engineering concepts.
- Experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies.
- Excellent problem‑solving skills and ability to work cross‑functionally in an agile setting.
Skills
pythonmachine learninggenerative aitensorflowpytorchaws