Die KI-Suchmaschine für Jobs
Lead AI Developer(m/w/x)
Developing Agentic AI/ML solutions with enterprise-grade LLMOps/MLOps for database and analytics software. Master's Degree in CS/Data Science, extensive Python, and distributed computing experience needed. Flexible working models.
Anforderungen
- Drive, motivation, and teamwork skills
- Master's Degree in Computer Science, Data Science, or related fields
- Multiple years extensive experience in Python programming
- Multiple years extensive experience in distributed computing frameworks
- Strong experience with data modeling
- Strong experience with ETL processes
- Strong experience with cloud infrastructure
- Enterprise-grade expert background with ML/AI algorithms
- Enterprise-grade expert background with statistical models
- Enterprise-grade expert background with ML/AI architectures
- Advanced coding skills in Python (preferred) or Java
- Solid understanding of software engineering principles
- Experience with backend frameworks (FastAPI, Flask, Django)
- Experience with microservice architectures
- Familiarity with containerization tools (Docker)
- Familiarity with orchestration tools (Kubernetes, GitHub Actions, MLFlow)
- Experience implementing CI/CD pipelines in cloud environments
- Experience implementing MLOps pipelines 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
- Desirable good German language skills
- Experience with multi-agent or generative AI frameworks (LangChain, CrewAI)
- Familiarity with SAP AI Core
- Familiarity with SAP BTP
- Experience with agile frameworks (Scrum, SAFe)
- Experience with project management tools (Jira)
- Strong oral and written communication skills in English
Aufgaben
- Develop Agentic AI/ML solutions collaboratively.
- Manage the end-to-end lifecycle of solutions.
- Lead development, maintenance, and optimization of Agentic AI solutions.
- Design, develop, and deploy AI solutions end-to-end.
- Execute enterprise-grade LLMOps and MLOps for AI models.
- Drive architectural decisions for enterprise AI solutions.
- Ensure reliability, observability, and compliance of AI solutions.
- Guide and mentor junior colleagues.
- Stay updated on state-of-the-art AI/ML technologies.
- Act as a thought leader in AI and engineering.
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – Grundkenntnisse
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
Gesundheits- & Fitnessangebote
- Health and well-being focus
Flexibles Arbeiten
- Flexible working models
Noch nicht perfekt?
- SAPVollzeit/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 Enablement Specialist(m/w/x)
Vollzeit/Teilzeitnur vor OrtKeine AngabeGarching bei München - SAP
AI Governance Architect(m/w/x)
Vollzeit/Teilzeitnur vor OrtBerufserfahrenGarching bei München - SAP
Principal Consultant Business Data Strategy & Advisory - Data Architect(m/w/x)
Vollzeit/Teilzeitnur vor OrtSeniorWalldorf, Berlin, Eschborn, Gerlingen, Hamburg, Garching bei München, München, Dresden, Ratingen, Hannover
Lead AI Developer(m/w/x)
Developing Agentic AI/ML solutions with enterprise-grade LLMOps/MLOps for database and analytics software. Master's Degree in CS/Data Science, extensive Python, and distributed computing experience needed. Flexible working models.
Anforderungen
- Drive, motivation, and teamwork skills
- Master's Degree in Computer Science, Data Science, or related fields
- Multiple years extensive experience in Python programming
- Multiple years extensive experience in distributed computing frameworks
- Strong experience with data modeling
- Strong experience with ETL processes
- Strong experience with cloud infrastructure
- Enterprise-grade expert background with ML/AI algorithms
- Enterprise-grade expert background with statistical models
- Enterprise-grade expert background with ML/AI architectures
- Advanced coding skills in Python (preferred) or Java
- Solid understanding of software engineering principles
- Experience with backend frameworks (FastAPI, Flask, Django)
- Experience with microservice architectures
- Familiarity with containerization tools (Docker)
- Familiarity with orchestration tools (Kubernetes, GitHub Actions, MLFlow)
- Experience implementing CI/CD pipelines in cloud environments
- Experience implementing MLOps pipelines 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
- Desirable good German language skills
- Experience with multi-agent or generative AI frameworks (LangChain, CrewAI)
- Familiarity with SAP AI Core
- Familiarity with SAP BTP
- Experience with agile frameworks (Scrum, SAFe)
- Experience with project management tools (Jira)
- Strong oral and written communication skills in English
Aufgaben
- Develop Agentic AI/ML solutions collaboratively.
- Manage the end-to-end lifecycle of solutions.
- Lead development, maintenance, and optimization of Agentic AI solutions.
- Design, develop, and deploy AI solutions end-to-end.
- Execute enterprise-grade LLMOps and MLOps for AI models.
- Drive architectural decisions for enterprise AI solutions.
- Ensure reliability, observability, and compliance of AI solutions.
- Guide and mentor junior colleagues.
- Stay updated on state-of-the-art AI/ML technologies.
- Act as a thought leader in AI and engineering.
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – Grundkenntnisse
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
Gesundheits- & Fitnessangebote
- Health and well-being focus
Flexibles Arbeiten
- Flexible working models
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
(Senior) AI Developer(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 Enablement Specialist(m/w/x)
Vollzeit/Teilzeitnur vor OrtKeine AngabeGarching bei München - SAP
AI Governance Architect(m/w/x)
Vollzeit/Teilzeitnur vor OrtBerufserfahrenGarching bei München - SAP
Principal Consultant Business Data Strategy & Advisory - Data Architect(m/w/x)
Vollzeit/Teilzeitnur vor OrtSeniorWalldorf, Berlin, Eschborn, Gerlingen, Hamburg, Garching bei München, München, Dresden, Ratingen, Hannover