Senior Machine Learning Engineer

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