Die KI-Suchmaschine für Jobs
(Senior) AI Developer(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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.
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – verhandlungssicher
Tools & Technologien
- Python
- Java
- FastAPI
- Flask
- Django
- Docker
- Kubernetes
- GitHub Actions
- MLFlow
- Azure ML
- Databricks
- AWS
- LangChain
- CrewAI
- SAP AI Core
- SAP BTP
- Jira
Benefits
Weiterbildungsangebote
- Constant learning
- Skill growth
Lockere Unternehmenskultur
- Culture of inclusion
Gesundheits- & Fitnessangebote
- Focus on health and well-being
Flexibles Arbeiten
- Flexible working models
Ergonomischer Arbeitsplatz
- Accessibility accommodations
Noch nicht perfekt?
- SAPVollzeit/Teilzeitnur vor OrtSeniorGarching bei München
- SAP
AI Enablement Specialist(m/w/x)
Vollzeit/Teilzeitnur vor OrtKeine AngabeGarching bei München - XITASO GmbH
Senior AI Engineer(m/w/x)
Vollzeit/Teilzeitnur vor OrtSeniorAugsburg, Krumbach (Schwaben), Berlin, Erlangen, Leipzig, Münster, München, Karlsruheab 76.000 / Jahr - SAP
AI Governance Architect(m/w/x)
Vollzeit/Teilzeitnur vor OrtBerufserfahrenGarching bei München - SAP
(Senior) Developer for Sovereign Cloud Onsite / ApeiroRA / EU AI Projects(m/w/x)
Vollzeit/Teilzeitnur vor OrtSeniorBerlin, Dresden, München, St. Leon-Rot
(Senior) AI Developer(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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.
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – verhandlungssicher
Tools & Technologien
- Python
- Java
- FastAPI
- Flask
- Django
- Docker
- Kubernetes
- GitHub Actions
- MLFlow
- Azure ML
- Databricks
- AWS
- LangChain
- CrewAI
- SAP AI Core
- SAP BTP
- Jira
Benefits
Weiterbildungsangebote
- Constant learning
- Skill growth
Lockere Unternehmenskultur
- Culture of inclusion
Gesundheits- & Fitnessangebote
- Focus on health and well-being
Flexibles Arbeiten
- Flexible working models
Ergonomischer Arbeitsplatz
- Accessibility accommodations
Über das Unternehmen
SAP
Branche
IT
Beschreibung
SAP innovations help over four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
Noch nicht perfekt?
- SAP
Lead AI Developer(m/w/x)
Vollzeit/Teilzeitnur vor OrtSeniorGarching bei München - SAP
AI Enablement Specialist(m/w/x)
Vollzeit/Teilzeitnur vor OrtKeine AngabeGarching bei München - XITASO GmbH
Senior AI Engineer(m/w/x)
Vollzeit/Teilzeitnur vor OrtSeniorAugsburg, Krumbach (Schwaben), Berlin, Erlangen, Leipzig, Münster, München, Karlsruheab 76.000 / Jahr - SAP
AI Governance Architect(m/w/x)
Vollzeit/Teilzeitnur vor OrtBerufserfahrenGarching bei München - SAP
(Senior) Developer for Sovereign Cloud Onsite / ApeiroRA / EU AI Projects(m/w/x)
Vollzeit/Teilzeitnur vor OrtSeniorBerlin, Dresden, München, St. Leon-Rot