Senior Machine Learning Engineer at AI CoE

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 

Summary:  

We are looking for a Senior ML Engineering who can drive AI development and lead our engineering scrum teams as technical code and architecture owner. The candidate will have profound skills in Data Science, Data Engineering and Software Engineering for our IT agile team (Senior level), with an entrepreneurial spirit to join our diverse team and work on innovation projects.  

Role:   

In this role you drive, oversee and are responsible for the entire development lifecycle of an AI service, from Data Science PoC to productization and production operations. This requires skills and knowledge throughout the entire development lifecycle. You are very experienced with general software engineering best practices and enterprise-grade code development applied to an AI space. Concretely this means that next to having profound AI modeling expertise, you are exceptional at working with vast amounts of data in a Big Data setup, professional Data Engineering Pipeline development as well as model deployment/serving and CI/CD setup. To fully understand our stakeholders' problems and challenges a solid business acumen is needed as well. As a development leader you can motivate and guide a scrum team through complex tasks with tight deadlines. 

Responsibilities / Core Tasks:  

• Lead develop AI services from PoC to Production  
• Setup and develop new Big Data pipelines, to productize data ETL workloads for different AI services.  
• Develop AI/ML models to solve real life business problems (this includes Data Science exploration phase as well as model productization)  
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.  
• Productionize AI PoCs with good software engineering by incorporating CI/CD pipelines, deployment and MLOps. 
• Take ownership over AI services in development and production 
• Lead, guide and mentor junior colleagues and evolve their AI engineering skillset 

What you bring

• Bachelor's or master's degree in machine learning, computer science, engineering, or related technical fields  
• Vast coding knowledge of at least one programming language such as Python or Java  
• Deep knowledge of Distributed Computing Systems for Big Data Engineering such as Databricks (PySpark/Scala)  
• Exceptional understanding of AI/ML concepts  
• Extensive coding experience in applying ML frameworks such as Keras, scikit-learn, TensorFlow, PyTorch, Langchain, OpenAI, Huggingface  
• Vast general software engineering best-practices (e.g. Object-Oriented Programming) and experience working in a scrum-like software engineering unit
• Productization technologies and tools such as Docker, K8s, GitHub, VSCode, Linux etc.  
• CI/CD and ML Ops frameworks such as Jenkins, GitHub Actions, MLFlow, etc.  
• Cloud-deployment offerings such as Azure ML, Databricks, AKS, Event Hubs, Azure Data Factory, Azure Functions or similar in AWS / GCP  
• Some form of code ownership and scrum team leadership experience 
• Curiosity to learn about different AI applications and new technologies in general  
• Excellent spoken and written knowledge of English as well as collaborative mindset  
• Experience with SAP AI offerings e.g. AI Core, AI Business Services, Joule etc. is a plus  
• Understanding of Agile / Scaled Agile (SAFe) methodologies is a plus  
• Python backend development, e.g. Flask, Django, FastAPI, OpenAPI is a plus  

Meet your team 
  
SAP Intelligent Enterprise Solutions (IES) department 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 product development and strategy, with our customer experience at heart.  

Within IES, our “Artificial Intelligence CoE” team has the purpose to help SAP to transform into a data-driven intelligent enterprise, by empowering SAP employees to simplify processes, leveraging AI technologies. Our vision is to be an advocate and enabler of best-in-class AI within SAP. Our mission is to deliver business value through AI in SAP’s processes and be recognized as AI Thought Leader in the market.   

We implement both standard SAP AI and custom built solutions across all LoBs. We are customer zero of SAP standard AI solutions and provide continuous feedback to standard development for product improvement. We provide an AI Platform and Infrastructure to entire SAP AI practitioners for building their own ML solutions in the entire ML lifecycle following MLOps methodology. Furthermore, we build and operate a central chatbot platform based on SAP Conversational AI with the aim to provide capabilities from all lines of business through a single digital assistant. We also build those capabilities (individual chatbots) as well as support other teams in building further ones.    

Within our team, we practice a trust-based working model with emphasis on great collaboration, agility and transparency. We offer a lot of room for creativity and freedom to experiment. Our operating model is based on autonomous/agile team concept (SAFe) and SAP New Work practice where we put people at the center of everything we do.

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.

Requisition ID: 394284  | Work Area: Information Technology  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Part Time or Regular Full Time   | #LI-Hybrid