Machine Learning Engineer

We help the world run better. At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We touch over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next.

What you'll do Explore, understand, and manage SAP Concur’s data storage systems and machine learning environments. Develop new agents that leverage LLMs, APIs and datasets, including RAG based patterns. Work with interdisciplinary teams of developers, designers, and business experts to develop solutions with real measurable customer impact.

Help to ensure performance, reliability and ongoing improvement of our data pipelines in continuous collaboration with development teams. Continuously improve data platform efficiency, cost optimization, and operational excellence. What you bring Strong AI/ML skills using Python, and experience using ML techniques to deliver end‑user industrial strength ML features, shipping to millions of users. 3+ years of AWS experience using numerous AWS Services such as S3, DynamoDB and Redshift. 3+ years of experience shipping software in a professional software team, using GitHub and CICD pipelines.

Solid understanding of data modeling concepts (fact/dimension modeling, schema design, normalization vs denormalization). Analytical mindset, curiosity and a drive to produce excellent solutions. Understanding of practical and privacy concerns surrounding Data and AI development.

Familiarity with data quality frameworks, schema evolution, and metadata management. Exposure to feature stores or ML data platforms. Experience working with large‑scale, high‑volume datasets in production.

Fluency in both written and spoken English. Tech you bring Mastery of Python and Python libraries for Machine Learning, AI and Python Frameworks such as Pandas. Strong experience with SQL or NoSQL databases.

Your own vision on how SAP can be more efficient with both data and ML services in production. Experience with big data frameworks (Spark, PySpark). Experience with workflow orchestration tools (Airflow, Step Functions).

Tech you'll learn Latest developments in applied ML and AI in customer‑facing products. Best practices for building functional and compliant ML and AI solutions. Meet your team As Intelligent Spend and Business Network, we play a crucial role in addressing our customers’ end‑to‑end procurement, travel and expense, and external workforce needs with visibility and agility across the entire supply chain.

Our data science team is a small team with diverse backgrounds that value your individual contribution and your ability to collaborate effectively with the rest of the team to develop powerful and effective ML/AI solutions. Additional Information Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, etc.), sexual orientation, gender identity or expression, protected veteran status or disability, in compliance with applicable federal, state, and local legal requirements. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities.

If you need help navigating our website or completing your application, please send an e‑mail to Recruiting Operations Team: [email protected]. 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. 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 Quebec.

Requisition ID: 454734 | Work Area: Software‑Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid #J-18808-Ljbffr