The AI Job Search Engine
Development Expert(m/w/x)
Description
Architecting scalable AI components and predictive insights for enterprise-level cloud business applications. Proven expertise in Python, LLMs, and generative AI frameworks required. Flexible working models, focus on health and well-being.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Strong engineering fundamentals and AI expertise
- •Passion for meaningful innovation
- •Experience in AI/ML engineering
- •Experience with Python and AI frameworks
- •Familiarity with generative AI and LLMs
- •Experience building scalable cloud-native solutions
- •Understanding of data engineering and APIs
- •Knowledge of MLOps and CI/CD
- •Lifelong learning and experimentation mindset
Education
Work Experience
approx. 1 - 4 years
Tasks
- •Design and deliver AI-powered capabilities
- •Build AI-driven features for predictive insights
- •Embed automation and decision support into workflows
- •Architect and implement scalable AI components
- •Integrate AI components into enterprise systems
- •Transform complex processes into intuitive experiences
- •Apply machine learning and generative AI
- •Develop services to enhance pipeline visibility
- •Improve opportunity prioritization and forecasting accuracy
- •Increase operational efficiency through intelligent automation
- •Manage the lifecycle from experimentation to deployment
- •Oversee MLOps, monitoring, and governance
- •Optimize performance for production-grade AI systems
Tools & Technologies
Languages
English – Business Fluent
Benefits
Learning & Development
- •Constant learning
- •Skill growth
- •Personal development investment
Informal Culture
- •Culture of inclusion
Healthcare & Fitness
- •Focus on health and well-being
Flexible Working
- •Flexible working models
Ergonomic Workplace
- •Accessibility accommodations
- SAPFull-timeWith HomeofficeSeniorGarching bei München, Walldorf
- Olmatic GmbH
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Development Expert(m/w/x)
The AI Job Search Engine
Description
Architecting scalable AI components and predictive insights for enterprise-level cloud business applications. Proven expertise in Python, LLMs, and generative AI frameworks required. Flexible working models, focus on health and well-being.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Strong engineering fundamentals and AI expertise
- •Passion for meaningful innovation
- •Experience in AI/ML engineering
- •Experience with Python and AI frameworks
- •Familiarity with generative AI and LLMs
- •Experience building scalable cloud-native solutions
- •Understanding of data engineering and APIs
- •Knowledge of MLOps and CI/CD
- •Lifelong learning and experimentation mindset
Education
Work Experience
approx. 1 - 4 years
Tasks
- •Design and deliver AI-powered capabilities
- •Build AI-driven features for predictive insights
- •Embed automation and decision support into workflows
- •Architect and implement scalable AI components
- •Integrate AI components into enterprise systems
- •Transform complex processes into intuitive experiences
- •Apply machine learning and generative AI
- •Develop services to enhance pipeline visibility
- •Improve opportunity prioritization and forecasting accuracy
- •Increase operational efficiency through intelligent automation
- •Manage the lifecycle from experimentation to deployment
- •Oversee MLOps, monitoring, and governance
- •Optimize performance for production-grade AI systems
Tools & Technologies
Languages
English – Business Fluent
Benefits
Learning & Development
- •Constant learning
- •Skill growth
- •Personal development investment
Informal Culture
- •Culture of inclusion
Healthcare & Fitness
- •Focus on health and well-being
Flexible Working
- •Flexible working models
Ergonomic Workplace
- •Accessibility accommodations
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.
- SAP
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