MLOps Engineer

Key Skills

Aartificial intelligence, Azure, Big Data Technology, Data science techniques, DevOps, Github, Jenkins, Keras software library, Machine learning techniques, MLOps tools, NumPy, Pandas, Python Programming, PyTorch, Scikit-learn, TensorFlow

Job Description

SAP Intelligent Enterprise Solutions (IES) organization, also known as SAP IT, has the purpose to “Deliver and Run the Intelligent Enterprise”. IES is SAP’s 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

We’re looking for a MLOps Engineer with background in Machine Learning and DevOps and with an entrepreneurial spirit to join our Data Science, AI and Big Data team and work on innovation projects. As a MLOps Engineer, you will join the AI Platform Enablement agile team and work closely with Data Scientists, Engineers and Product Owner in an agile, cross-functional setup to help deliver AI infrastructure as well as ML models for our customer’s use cases to provide business benefits and tackle customer’s pain-points through AI technologies.

WHAT YOU’LL DO

• Work on development and conceptual tasks along the entire AI product lifecycle as well as on technology-related enablement of AI Platform users within an agile team

• Contribute to building of reusable software components required for fast delivery of productive ML models, increased process automation and accelerated adoption of MLOps best practices

• Continuous learning and familiarization with state-of-the-art algorithms and technologies in agile software engineering, MLOps and AI

• Openness to conduct data science tasks in our AI projects including knowledge in Python libraries and Machine Learning frameworks

WHAT YOU’LL BRING

• Bachelor’s or master’s degree in computer science, data science, engineering or related technical fields

• At least 2+ years work experience in data science and software development

• Understanding of AI/ML concepts with focus on MLOps

• Understanding of Machine Learning frameworks such as Numpy, Pandas, Keras, scikit-learn, TensorFlow, PyTorch

• Experience in DevOps practices and tools such as Jenkins, GitHub, Terraform

• Experience with large-scale data processing frameworks such as Spark

• Knowledge in Azure cloud services, Azure DevOps and related tools for successful end-to-end deployment and management of machine learning solutions will be considered a plus

SAP Big Data Careers

We build breakthroughs together

SAP innovations help more than 400,000 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 200 million users and more than 100,000 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, we build breakthroughs, together.

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.