Machine Learning Engineer Expert
About The Position
Be part of SAP's expert community, influencing global AI initiatives and mentoring talent to deliver impactful innovations. You will architect ML solutions, lead deployment at scale, and ensure compliance with performance and security standards. You'll act as a trusted advisor and contribute to SAP's AI strategy. You'll shape how ML engineering is practiced across teams and products, not just within your immediate group. The role requires both technical depth and the ability to influence people who don't report to you. Mentoring engineers is an explicit expectation, and the standards you set will affect work well beyond your direct area. If you've reached the point where your value comes as much from what you enable in others as from what you build yourself, this level reflects that.
Requirements
- 10+ years of software engineering experience with a track record of delivering complex systems
- Bachelor's degree in Computer Science, Mathematics, Physics, or related field
- Hands-on experience with AI/ML in production environments, including large language models (LLM), retrieval-augmented generation (RAG), prompt engineering, vector search, agent workflows, and model evaluation techniques
- Expertise in distributed systems design and large-scale enterprise product architecture
- Strong programming skills, proficiency with ML frameworks, and solid understanding of MLOps practices
- Excellent English communication skills and ability to collaborate effectively in global, multicultural teams
- Deep expertise in advanced ML system architecture, scalable model deployment, and ML platform capabilities
- Solid understanding of modern AI application development, including large language models, retrieval-augmented generation (RAG), prompt engineering, vector search, agent workflows, and model evaluation techniques
- Technical partner who can bridge the gap between customer requirements and product capabilities
- Comfortable working directly with stakeholders, gathering requirements, clarifying ambiguous requests, and proposing solutions that maximize customer value
- Ability to guide teams, optimize workflows, and connect emerging ML advancements to business needs
- Experience with large-scale ML architecture design, advanced MLOps and observability, model governance and explainability, and optimization across performance and cost dimensions
- Technical mentorship and the ability to set standards that others follow
Responsibilities
- Architect ML solutions
- Lead deployment at scale
- Ensure compliance with performance and security standards
- Act as a trusted advisor and contribute to SAP's AI strategy
- Lead the design and optimization of large-scale ML systems (LLM capabilities and infrastructure)
- Shape cutting-edge infrastructure
- Mentor engineers
- Define architectural and operational standards
- Ensure ML solutions meet business, performance, scalability, and governance requirements
- Advance the adoption of modern ML techniques
- Influence technical direction across products
- Enable safe experimentation
- Ensure systems are production-ready and aligned with product objectives
- Shape how ML engineering is practiced across teams and products
- Influence people who don't report to you
- Set standards that others follow
Benefits
- Health insurance
- Dental insurance
- Vision insurance
- Life insurance
- Disability insurance
- 401k
- Flexible scheduling
- Paid holidays
- Employee discount programs
- Professional development
- Learning and development program
- Wellness programs
- Diversity programs
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What This Job Offers
Job Type
Full-time
Career Level
Senior
