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SAP Regular Cloud Data & ML Platform Engineer in Sofia, Bulgaria

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.

The development center of SAP in Bulgaria plays a key role in the defining and developing of the SAP Business Technology Platform. With its more than 1400 professionals, SAP Labs Bulgaria also has strong contributions toward life-cycle management, user interface & user experience across the broader portfolio of SAP products and has recently welcomed new teams focusing on business applications. For its 24-year history, the company has established itself as a preferred employer in the IT sector in Bulgaria.

ABOUT US

The SAP CPIT Product, Data and Technology organization has the purpose to Deliver and Run the Intelligent Enterprise. CPIT is SAPs technology backbone and most compelling reference customer, and as such, we influence SAP product development and strategy, with our customer experience at heart. To support the updated SAP AI Strategy and the company vision on Generative AI, we need to strengthen our team to accelerate delivery of Data & AI Cloud Solutions.

THE ROLE

Were looking for a Cloud Data & ML Platform Engineer, with an entrepreneurial spirit to join our Data Science, AI and Big Data team and work on innovation projects.

As a Cloud Data & ML Platform Engineer, you will:

  • Contribute to the implementation of best-in-class services for our SAP Cloud Data & ML Platform, industrializing the entire Data Engineering pipelines and Machine Learning models life cycle (DevSecOps, MLOps).

  • Get involved in all aspects of entire solution lifecycle starting from idea creation to productization.

  • Utilize Azure cloud infrastructure to evolve and extend ML platform services.

  • Develop & Operate cutting-edge Machine Learning platform services for large enterprise by following agile development practices.

  • Demonstrate excellent skills in product design and development.

  • Implement high-quality ideas efficiently, with a focus on technical expertise and attention to detail.

What you bring

  • Bachelors or masters degree in business informatics, computer science, engineering or related technical fields.

  • Ability to communicate complex concepts in simple form to non-technical audience

  • Interest in Big Data, Data Science, AI, Machine Learning and MLOps issues.

  • Programming experience in Python.

  • Experience in Cloud and AI technologies (e.g., Microsoft Azure, Databricks, Spark).

  • Experience in automation with Infrastructure as Code, such as Terraform.

  • Hands-on experience with Jenkins for automating software development processes.

  • Demonstrate excellent skills in product design and development.

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 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 (https://one.int.sap/me@sap/jobs_at_sap#17498858-1050-415e-8d82-21f91655666b_96fc) . 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: 394282 | Work Area: Information Technology | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.

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