Senior Machine Learning Engineer at SAP

Design and build top quality AI solutions enhancing cloud development processes. Design, develop, and deploy AI services from proof-of-concept to enterprise production. Build data pipelines and model deployment workflows for scalable, secure AI systems. Implement CI/CD and MLOps practices for automated model training, testing, and deployment. Develop and integrate multi-agent AI and LLM-based products and solutions. Ensure reliability, observability, and compliance of deployed AI solutions. Guide and mentor junior colleagues.

As part of the new Hyperspace AI Accelerators team, you'll help develop next-generation agentic AI solutions and support how Hyperspace brings AI into engineering roles across SAP.

Requirements:

Computer science degree or equivalent

Advanced Python (preferred) or Java coding

Backend frameworks: FastAPI, Flask, Django

Containerization/orchestration: Docker, Kubernetes, GitHub Actions, MLFlow

CI/CD and MLOps in cloud environments (Azure ML, Databricks, AWS)

Data ETL, APIs, and model deployment workflows

Distributed systems and big data platforms

Fluent English

Agile/SAFe methodologies

Nice-to-have:

Multi-agent or generative AI frameworks (e.g., LangChain, CrewAI)

SAP AI Core, SAP BTP familiarity