SAP
Lead AI Developer(m/w/x)
Full-time/Part-timeOn-siteSenior
Garching bei München
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SASAP
(Senior) AI Developer(m/w/x)
Garching bei München
Part-time, Full-timeOn-site
AI/ML
Data Science
Nejo AI Summary
Developing Agentic AI/ML solutions and architectures for end-to-end business application software at a provider with 400k+ customers. Master's degree in CS/Data Science and multiple years of Python/distributed computing experience required. Flexible working models.
Requirements
- Driven, motivated team player
- Master's Degree in Computer Science, Data Science, or related fields
- Multiple years of Python programming experience
- Multiple years of distributed computing frameworks experience
- Solid experience with data modeling
- Solid experience with ETL processes
- Solid experience with cloud infrastructure
- Enterprise-grade background with ML/AI algorithms
- Enterprise-grade background with statistical models
- Enterprise-grade background with ML/AI architectures
- Advanced coding skills in Python (preferred) or Java
- Solid understanding of software engineering principles
- Experience with backend frameworks
- Experience with microservice architectures
- Familiarity with containerization tools
- Familiarity with orchestration tools
- Experience implementing CI/CD pipelines
- Experience implementing MLOps pipelines
- Experience in cloud environments
- Hands-on experience with data ETL
- Hands-on experience with APIs
- Hands-on experience with model deployment workflows
- Knowledge of distributed systems
- Knowledge of data platforms for big data
- Understanding of Agile methodologies
- Understanding of SAFe methodologies
- Understanding of collaborative engineering practices
- Fluent English
- Proactive, problem solving mindset
- Good German language skills desirable
- Experience with multi-agent or generative AI frameworks
- Familiarity with SAP AI Core
- Familiarity with SAP BTP
- Experience with agile frameworks
- Experience with project management tools
- Strong oral and written English communication skills
Tasks
- Develop Agentic AI and ML solutions with global teams.
- Manage the end-to-end lifecycle of solutions.
- Drive development of cutting-edge AI solutions.
- Lead development, maintenance, and optimization of Agentic AI architectures.
- Design, develop, and deploy AI solutions.
- Oversee AI solution lifecycle from concept to production.
- Execute enterprise-grade LLMOps and MLOps for AI models and workflows.
- Drive architectural decisions for enterprise AI solutions.
- Ensure reliability, observability, and compliance for deployed AI.
- Mentor junior colleagues to foster AI engineering excellence.
- Stay updated on state-of-the-art AI/ML technologies.
- Act as a thought leader in AI and engineering.
Education
- Master's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- Python
- Java
- FastAPI
- Flask
- Django
- Docker
- Kubernetes
- GitHub Actions
- MLFlow
- Azure ML
- Databricks
- AWS
- LangChain
- CrewAI
- SAP AI Core
- SAP BTP
- Jira
Benefits
Learning & Development
- Constant learning
- Skill growth
Informal Culture
- Culture of inclusion
Healthcare & Fitness
- Focus on health and well-being
Flexible Working
- Flexible working models
Ergonomic Workplace
- Accessibility accommodations
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SAP and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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SASAP
(Senior) AI Developer(m/w/x)
Garching bei München
Part-time, Full-timeOn-site
AI/ML
Data Science
Nejo AI Summary
Developing Agentic AI/ML solutions and architectures for end-to-end business application software at a provider with 400k+ customers. Master's degree in CS/Data Science and multiple years of Python/distributed computing experience required. Flexible working models.
Requirements
- Driven, motivated team player
- Master's Degree in Computer Science, Data Science, or related fields
- Multiple years of Python programming experience
- Multiple years of distributed computing frameworks experience
- Solid experience with data modeling
- Solid experience with ETL processes
- Solid experience with cloud infrastructure
- Enterprise-grade background with ML/AI algorithms
- Enterprise-grade background with statistical models
- Enterprise-grade background with ML/AI architectures
- Advanced coding skills in Python (preferred) or Java
- Solid understanding of software engineering principles
- Experience with backend frameworks
- Experience with microservice architectures
- Familiarity with containerization tools
- Familiarity with orchestration tools
- Experience implementing CI/CD pipelines
- Experience implementing MLOps pipelines
- Experience in cloud environments
- Hands-on experience with data ETL
- Hands-on experience with APIs
- Hands-on experience with model deployment workflows
- Knowledge of distributed systems
- Knowledge of data platforms for big data
- Understanding of Agile methodologies
- Understanding of SAFe methodologies
- Understanding of collaborative engineering practices
- Fluent English
- Proactive, problem solving mindset
- Good German language skills desirable
- Experience with multi-agent or generative AI frameworks
- Familiarity with SAP AI Core
- Familiarity with SAP BTP
- Experience with agile frameworks
- Experience with project management tools
- Strong oral and written English communication skills
Tasks
- Develop Agentic AI and ML solutions with global teams.
- Manage the end-to-end lifecycle of solutions.
- Drive development of cutting-edge AI solutions.
- Lead development, maintenance, and optimization of Agentic AI architectures.
- Design, develop, and deploy AI solutions.
- Oversee AI solution lifecycle from concept to production.
- Execute enterprise-grade LLMOps and MLOps for AI models and workflows.
- Drive architectural decisions for enterprise AI solutions.
- Ensure reliability, observability, and compliance for deployed AI.
- Mentor junior colleagues to foster AI engineering excellence.
- Stay updated on state-of-the-art AI/ML technologies.
- Act as a thought leader in AI and engineering.
Education
- Master's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- Python
- Java
- FastAPI
- Flask
- Django
- Docker
- Kubernetes
- GitHub Actions
- MLFlow
- Azure ML
- Databricks
- AWS
- LangChain
- CrewAI
- SAP AI Core
- SAP BTP
- Jira
Benefits
Learning & Development
- Constant learning
- Skill growth
Informal Culture
- Culture of inclusion
Healthcare & Fitness
- Focus on health and well-being
Flexible Working
- Flexible working models
Ergonomic Workplace
- Accessibility accommodations
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SAP and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
SAP
Industry
IT
Description
SAP innovations help over four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
Not a perfect match?
- SAP
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Full-time/Part-timeOn-siteSeniorGarching bei München - SAP
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Senior AI Engineer(m/w/x)
Full-time/Part-timeOn-siteSeniorAugsburg, Krumbach (Schwaben), Berlin, Erlangen, Leipzig, Münster, München, Karlsruhefrom 76,000 / year - SAP
AI Governance Architect(m/w/x)
Full-time/Part-timeOn-siteExperiencedGarching bei München - SAP
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Full-time/Part-timeOn-siteSeniorBerlin, Dresden, München, St. Leon-Rot