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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.
Requirements
- 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
Tasks
- 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.
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
- German – Basic
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
Healthcare & Fitness
- Health and well-being focus
Flexible Working
- Flexible working models
Not a perfect match?
- SAPFull-time/Part-timeOn-siteNot specifiedGarching bei München
- XITASO GmbH
Senior AI Engineer(m/w/x)
Full-time/Part-timeOn-siteSeniorAugsburg, Krumbach (Schwaben), Berlin, Erlangen, Leipzig, Münster, München, Karlsruhefrom 76,000 / year - SAP
AI Enablement Specialist(m/w/x)
Full-time/Part-timeOn-siteNot specifiedGarching bei München - SAP
AI Governance Architect(m/w/x)
Full-time/Part-timeOn-siteExperiencedGarching bei München - SAP
Principal Consultant Business Data Strategy & Advisory - Data Architect(m/w/x)
Full-time/Part-timeOn-siteSeniorWalldorf, 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.
Requirements
- 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
Tasks
- 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.
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
- German – Basic
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
Healthcare & Fitness
- Health and well-being focus
Flexible Working
- Flexible working models
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
(Senior) AI Developer(m/w/x)
Full-time/Part-timeOn-siteNot specifiedGarching bei München - XITASO GmbH
Senior AI Engineer(m/w/x)
Full-time/Part-timeOn-siteSeniorAugsburg, Krumbach (Schwaben), Berlin, Erlangen, Leipzig, Münster, München, Karlsruhefrom 76,000 / year - SAP
AI Enablement Specialist(m/w/x)
Full-time/Part-timeOn-siteNot specifiedGarching bei München - SAP
AI Governance Architect(m/w/x)
Full-time/Part-timeOn-siteExperiencedGarching bei München - SAP
Principal Consultant Business Data Strategy & Advisory - Data Architect(m/w/x)
Full-time/Part-timeOn-siteSeniorWalldorf, Berlin, Eschborn, Gerlingen, Hamburg, Garching bei München, München, Dresden, Ratingen, Hannover