Data Scientist - SAP Integration Suite (3-7 years)

 We help the world run better

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.

What you'll do

•    Develop Machine Learning (ML) algorithms to solve operational problems 
•    Understand the set of ML algorithms that will be applicable to a specific business problem
•    Research, experiment and build ML PoCs to demonstrate and validate your solutions internally
•    Evaluate, improve/refine models by tuning parameters, adjusting data sources, or model approaches, to provide business value
•    Understand data and evaluate data quality from data science, data engineering and business value perspectives.
•    Contribute to building end to end AI/ ML projects (pre-processing, data cleansing, data pipelines, storage etc.), not restricted to only algorithms
•    Deploy ML projects into production and support re-training and maintenance for the same

What you'll bring

•    Graduate with 3-7+ years of experience working as a data engineer
•    Proficiency in AI/ ML algorithms, concepts, and techniques
•    Proficiency with Python, SQL, databases, and Natural Language Processing
•    Experience with popular ML frameworks and libraries (such as XGboost, Pytorch, Tensorflow, pandas, numpy etc.)
•    Experience with ML end to end management tools such as MLFlow
•    Knowledge of transformer models, different LLM offerings and differences between them
•    Familiarity with tuning of parameters for customizing LLMs – Good to have
•    Familiarity with Microservice paradigms and related technologies, such as Kubernetes, Docker, and REST API’s – Good to have
•    Some familiarity with data engineering tools such as Spark, AWS Glue, Databricks, GSP Data Flow, Airflow etc – Good to have
 

Meet your team

SAP Integration Suite is SAP’s strategic Enterprise Integration Platform as a service offering (EiPaas) running on SAP BTP. With more than 12,000+ customers, it is one of the most successful cloud services at SAP. Recently, Gartner rated SAP Integration Suite as the “Customer Choice” for Enterprise Integration Platform as a service.
Within BTP Integration, you will be part of Cloud Delivery and Engineering Services (a.k.a CDE), which has customer centricity at the core, and the mission to pursue operational and engineering excellence, thereby enabling the organization to make decisions through data insights and, in agile and fast delivering of the best-in-class EiPaaS software, which is regression free, reliable, secure, cost effective, highly available & scalable.

#DataScienceT2

​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 and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide 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.

EOE AA M/F/Vet/Disability:

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Successful candidates might be required to undergo a background verification with an external vendor.

Requisition ID: 401830  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations: #LI-Hybrid.