Machine Learning Engineer

We help the world run better
At SAP we keep it simple: you bring your best to us and well bring out the best in you. Were builders touching over 20 industries and 80% of global commerce and we need your unique talents to help shape whats next. The work is challenging but it matters. Youll find a place where you can be yourself prioritize your wellbeing and truly belong. Whats in it for you Constant learning skill growth great benefits and a team that wants you to grow and succeed.

Machine Learning Engineer

We are seeking a motivated and curiousMachine Learning Engineerto help build intelligent systems that power large-scale AI and large language model (LLM) this role you will contribute to the design and development of modern infrastructure collaborate with experienced engineers and gain hands-on experience bringing ideas from concept to productiondriving meaningful impact across SAPs global ecosystem.

Description

As part of our fast-moving team youll have the opportunity to work on AI and LLM-based systems at scale. We are looking for someone with strong programming skills an eagerness to learn distributed systems and the determination to tackle challenging technical problems. Youll work across a diverse technology stack collaborate with teammates and product partners and grow your expertise while contributing to high-impact AI initiatives.

Key Responsibilities

• Develop and maintain backend services APIs and data pipelines in Go Java or Python.
• Support the optimization of databases services and LLMinfrastructure.
• Work with modern technologies such as Kafka PostgresHANA gRPC and AI/ML frameworks.
• Collaborate with senior engineers to learn best practices in system design and scalability.
• Partner with cross-functional teams to deliver features aligned with business goals.

Application Requirement:

English-language resumes are required for this position. Please submit your application details (resume/cover letter) in English.

Minimum Qualifications

• Bachelors degree in Computer Science Mathematics Physics or a related field (or equivalent experience).
• 2 yearsof software engineering experience ideally with exposure to backend or AI/ML systems.
• Strong programming skills in at least one language (e.g. Python Java or Go).
• Familiarity with databases APIs or distributed systems concepts.
• Basic understanding of CI/CD pipelines and modern development practices.
• Good communication skills and ability to collaborate in diverse teams.

Preferred Qualifications

• Internship or project experience with AI/ML or LLM frameworks.
• Personal or open-source projects that showcase your technical curiosity.
• Interest in distributed systems and large-scale product development.
• A problem-solving mindset and eagerness to learn new technologies.

Why Join Us

• Work on cutting-edge AI and LLM systems used across SAPs global platforms.
• Learn directly from experienced engineers in a supportive collaborative environment.
• Gain exposure to a wide range of modern tools and technologies.
• Contribute to projects that help shape SAPs AI strategy and product capabilities.

French Job Description

Ingénieur en apprentissage automatique

Nous recherchons un ingénieur en apprentissage automatique curieux et motivé pour contribuer au développement de systèmes intelligents qui exploitent les fonctionnalités de lIA et des grands modèles de langage (LLM) à grande échelle. À ce poste vous participerez à la conception et au développement dune infrastructure moderne vous collaborerez avec des ingénieurs expérimentés et vous acquerrez une expérience pratique en concrétisant des idées de la conception à la mise en production contribuant ainsi de manière significative à lécosystème mondial de SAP.

Description

En tant que membre de notre équipe dynamique vous aurez lopportunité de travailler sur des systèmes basés sur lIA et les LLM à grande échelle. Nous recherchons une personne dotée de solides compétences en programmation désireuse de se former aux systèmes distribués et déterminée à relever des défis techniques complexes. Vous travaillerez sur une pile technologique diversifiée vous collaborerez avec vos collègues et les partenaires produits et vous développerez votre expertise tout en contribuant à des initiatives denvergure en matière dIA.

Principales responsabilités

• Développe et gère des services dorsaux des API et des pipelines de données dans Go Java ou Python.
• Contribue à loptimisation des bases de données des services et de linfrastructure LLM.
• Travaille avec des technologies modernes telles que Kafka Postgres HANA gRPC et les cadres AI/ML.
• Collabore avec des ingénieurs confirmés afin dacquérir les meilleures pratiques en matière de conception de systèmes et dévolutivité.
• Travaille en partenariat avec des équipes transversales pour proposer des fonctionnalités alignées sur les objectifs de lentreprise.

Exigence de candidature

Pour ce poste les CV doivent être rédigés en anglais. Veuillez envoyer votre candidature (CV/lettre de motivation) en anglais.

Qualifications minimales

• Baccalauréat en informatique mathématiques physique ou dans un domaine connexe (ou expérience équivalente).
• Plus de 2 ans dexpérience en génie logiciel idéalement dans des systèmes dorsaux ou dIA/ML.
• Excellentes compétences en programmation dans au moins un langage (Python Java ou Go).
• Familiarisé avec les concepts de base de données dAPI ou de système distribué.
• Connaissances de base des pipelines dintégration et livraison continue (CI/CD) et des pratiques de développement modernes.
• Bonnes compétences en communication et capacité à travailler en collaboration au sein déquipes hétérogènes.

Qualifications souhaitées

• Expérience des cadres AI/ML ou LLM dans le cadre dun stage ou dun projet.
• Projets personnels ou open source témoignant dune curiosité technique.
• Intérêt pour les systèmes distribués et le développement de produits à grande échelle.
• Capacité à résoudre des problèmes et volonté dapprendre de nouvelles technologies.

Notre offre

• Vous travaillerez sur des systèmes dIA et de LLM de pointe utilisés sur lensemble des plateformes mondiales de SAP.
• Vous bénéficierez de lexpertise dingénieurs chevronnés dans un environnement propice à la collaboration.
• Vous découvrirez un large éventail doutils et de technologies modernes.
• Vous participerez à des projets qui contribuent à façonner la stratégie dIA et les fonctionnalités produit de SAP.

#SAPAICareers #SAPAIAPP

Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software SAP has evolved to become a market leader in end-to-end business application software and related services for database analytics intelligent technologies and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide we are purpose-driven and future-focused with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries people or platforms we help ensure every challenge gets the solution it deserves. At SAP you can bring out your best.

We win with inclusion
SAPs 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 to complete your application please send an e-mail with your request to Recruiting Operations Team:

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 their age race religion national origin ethnicity gender (including pregnancy childbirth et al) sexual orientation gender identity or expression protected veteran status or disability in compliance with applicable federal state and local legal requirements.

SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAPs commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is 77500-166200CAD. The actual amount to be offered to the successful candidate will be within that range dependent upon the key aspects of each case which may include education skills experience scope of the role location etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. A summary of benefits and eligibility requirements can be found by clicking this link: .

Due to the nature of the role which involves global interactions with SAP entities as well as with employees and stakeholders in Canada functional proficiency in English is required for positions based in the Quebec.

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.

Requisition ID: 450440 Work Area: Software-Design and Development Expected Travel: 0 - 20% Career Status: Professional Employment Type: Regular Full Time Additional Locations: #LI-Hybrid