Machine Learning Engineer

Job Description

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're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

As a Machine Learning Engineer, you will work within an international team of other machine learning engineers, data scientists and data engineers to deliver top-grade machine learning-based cloud solutions into production. We solve real-world challenges posed by SAP's customers and product units with a focus on central platform services and infrastructure. You will work with SAP’s internal ML System, build agents and leverage LLMs. SAP has some of the richest data sets available in industry.

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 of 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 development 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 which will value your individual contribution as well as your ability to collaborate effectively with the rest of the team to develop powerful and effective ML/AI solutions.

#LI-DD2

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
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 to complete your application, please send an e-mail with your request to 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 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 SAP’s 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: www.SAPNorthAmericaBenefits.com.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: 454734 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid

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