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Working at SAP

  • Company employees
    107,000

Hiring in

  • Global

Office locations

Join SAP as an AI Platform Engineer, ML Engineering — Site Reliability in Budapest, Hungary. In this role, you will keep IBP's backend and AI platform running reliably by monitoring production environments, managing SAP HANA incidents, and tracking ML model health with up to 10% travel required.

Requirements

  • Hands-on experience with SAP HANA administration, memory management, SQL analysis, or performance tuning.
  • Python scripting skills for automation and ML pipeline operations.
  • Knowledge of ML model monitoring, MLOps, and cloud platforms like SAP Business Technology Platform (BTP).
  • Root cause analysis skills on complex distributed systems.
  • Degree not required.
  • Fluency in English is required.

Skills & Responsibilities

  • SAP HANA administration: Analyze SQL, manage memory, and perform performance tuning to resolve database incidents.
  • Python scripting: Build automation tooling to streamline site reliability and ML operations workflows.
  • MLOps and monitoring: Track model health, latency, usage, and drift across AI agents and ML pipelines.
  • Observability pipelines: Build telemetry to detect ML failures, regressions, and data quality issues.
  • Potential transition routes: People from Site Reliability Engineering, Software Engineering, or Database Administration roles may bring technical foundations and scripting skills, alongside meeting mandatory English fluency and cloud platform familiarity requirements.

Job description

Company Description

Job Description

AI Platform Engineer, ML Engineering — Site Reliability

What you'll bring

You bring a developing foundation in site reliability engineering and ML operations, with hands-on experience in database systems, cloud platforms, and Python tooling. You build trust through clear communication, bring emotional intelligence to every interaction, and solve complex problems with a customer-focused mindset.

  • Hands-on experience with SAP HANA administration, memory management, SQL analysis, or performance tuning.
  • Python scripting skills for automation, data analysis, and ML pipeline operations.
  • Familiarity with ML model monitoring or MLOps — including model drift, latency tracking, and evaluation pipelines.
  • Knowledge of cloud platform systems such as SAP Business Technology Platform (BTP) or equivalent enterprise environments.
  • An analytical mindset with root cause analysis (RCA) skills on complex, multi-layer distributed systems.
  • A practical approach to AI — you use automation and AI tools in daily workflows, design effective prompts, prototype solutions, and take responsibility for the quality and accuracy of AI-generated outputs.
  • Degree not required for this role.
  • Fluency in English is required for this role.

What you'll build

You'll keep IBP's backend and AI platform running reliably — from SAP HANA database incidents to ML model health in production.

  • Monitor customer-facing IBP environments for performance, availability, and service-level agreement (SLA) adherence.
  • Perform root cause analysis (RCA) and out-of-memory (OOM) analysis on SAP HANA incidents, coordinating resolution with development teams.
  • Track ML model health in production — monitoring latency, correctness, usage, and drift across AI agents and ML pipelines.
  • Build telemetry and observability pipelines to detect ML failures, model performance regressions, and data quality issues.
  • Write Python automation tooling to reduce manual effort in recurring site reliability engineering (SRE) and ML operations workflows.
  • Document RCA reports, runbooks, and standard operating procedures to support the wider team.

Where you belong

IBP Platform Engineering — Site Reliability & AI Platform works at the intersection of enterprise database reliability and AI-native operations. The team keeps SAP Integrated Business Planning (IBP) — SAP's flagship cloud supply chain planning solution — fast, stable, and cost-efficient for hundreds of leading enterprises worldwide. You'll work alongside cloud engineers, ML researchers, and domain specialists, building expertise that spans SAP HANA reliability and production ML systems. The team's scope is actively expanding: traditional SRE practice is evolving into AI-driven operations, and this role sits at that frontier. This role involves up to 10% travel.

Equal Employment Opportunity (EEO) Statement

Our company does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

Qualifications

Additional Information

About SAP
With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improves people’s lives.
As a leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience.

We win with inclusion

SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone, regardless of background, feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or complete your application, please send an email with your request to the Recruiting Operations Team: Careers@sap.com.

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Qualified applicants will receive consideration for employment without regard to age, race, religion, national origin, ethnicity, gender (including pregnancy and childbirth), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

Successful candidates might be required to undergo a background verification with an external vendor.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Apply now
SAP

AI Platform Engineer, ML Engineering — Site Reliability

Budapest

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