jobs.sap.com Open in urlscan Pro
130.214.193.81  Public Scan

Form analysis
2 forms found in the DOM

Name: keywordsearch — GET /search/

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Name: emailsubscribe — POST /talentcommunity/subscribe/?locale=de_DE&jobid=1085011701

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</form>

Text Content

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Sprache
 * Deutsch (Deutschland)
 * English (Global)
 * Français (France)
 * 日本語 (日本)
 * 简体中文 (中国大陆)

Bewerberprofil



Sprache
 * Deutsch (Deutschland)
 * English (Global)
 * Français (France)
 * 日本語 (日本)
 * 简体中文 (中国大陆)

Bewerberprofil



Sprache
 * Deutsch (Deutschland)
 * English (Global)
 * Français (France)
 * 日本語 (日本)
 * 简体中文 (中国大陆)

Bewerberprofil





SENIOR MACHINE LEARNING ENGINEER AT AI COE (F/M/D)

Information Technology
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Weniger Optionen anzeigen
Laden...
Aufgabenbereich
Alle Bildung und TrainingCommunicationConsulting and Professional
ServicesCorporate OperationsFinanzenInformation TechnologyKundenservice und
UnterstïutzungMarketingPersonalPre-SalesSalesSales SupportSekretariat /
AssistenzSoftware- QualitätssicherungSoftware-Design und
EntwicklungSoftware-Development OperationsSoftware-ResearchSoftware-User
ExperienceSolution und Produkt Management
Karrierestatus
Alle AbsolventenAusbildungBerufserfahrenManagementStudenten
Land/Region
AlleDeutschlandIrlandSchweizTschechische RepublikÖsterreich


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

 




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Ausschreibungsnummer 394284
Ausschreibungsdatum 14.09.2024
Funktionsbereich Information Technology
Karrierestatus Berufserfahren
Anstellungsverhältis Vollzeit, unbefristet
Voraussichtliche Reisetätigkeit 0 - 10%
Standort

Walldorf, DE, 69190

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