ICB GmbH
KI Engineer(m/w/x)
Full-timeRemoteJunior
München, Gütersloh
New Job?Nejo!
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MAMachine Learning Reply
Agentic AI Software Engineer(m/w/x)
München, Berlin
Full-timeWith Home OfficeJunior
AI/ML
Data Science
Nejo AI Summary
Building autonomous agentic AI systems for enterprise integration. Production ML/AI deployment experience required. Access to training and certifications.
Requirements
- University studies with quantitative/technical background
- Initial consulting and project management experience
- Adaptability and flexibility in roles
- Solid programming in Python, Java, Rust, or JavaScript
- Deploying ML/AI models to production
- Experience with SQL and NoSQL databases
- Experience with LLMs, prompt engineering, fine-tuning
- Strong communication skills for technical concepts
- Fluent English and C1-level German
- Hands-on experience with cloud AI services
- Understanding of MLOps concepts
- Knowledge of PyTorch, TensorFlow, Hugging Face, LangChain, OpenAI APIs
- Awareness of software engineering principles
- Familiarity with Docker and Kubernetes
- Cloud certifications are a plus
- Teamwork and collaboration skills
- Adaptability and flexibility in roles
Tasks
- Design, build, and deploy scalable cloud systems
- Develop and operate agentic AI systems
- Lead end-to-end AI feature implementation
- Build high-performance APIs and backend services
- Integrate generative AI solutions into enterprise environments
- Design and implement AI orchestration and retrieval pipelines
- Set up and maintain MLOps/LLMOps pipelines
- Ensure software quality through testing and monitoring
- Collaborate with clients and teams on AI solutions
Education
- Bachelor's degree
Languages
- English – Native
- German – Business Fluent
Tools & Technologies
- Python
- Java
- Rust
- JavaScript
- PyTorch
- TensorFlow
- Hugging Face
- LangChain
- OpenAI APIs
- Docker
- Kubernetes
Benefits
Flexible Working
- Flexible working model
Learning & Development
- Access to training and certifications
- Conferences
- Knowledge-sharing events
Diverse Work
- Interdisciplinary projects
Other Benefits
- Collaboration with technology partners
Team Events
- Vibrant community
- Hackathons
Modern Office
- Award-winning office space
Parking & Commuter Benefits
- Great transport connections
Public Transport Subsidies
- Deutschlandticket
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Machine Learning Reply 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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MAMachine Learning Reply
Agentic AI Software Engineer(m/w/x)
München, Berlin
Full-timeWith Home OfficeJunior
AI/ML
Data Science
Nejo AI Summary
Building autonomous agentic AI systems for enterprise integration. Production ML/AI deployment experience required. Access to training and certifications.
Requirements
- University studies with quantitative/technical background
- Initial consulting and project management experience
- Adaptability and flexibility in roles
- Solid programming in Python, Java, Rust, or JavaScript
- Deploying ML/AI models to production
- Experience with SQL and NoSQL databases
- Experience with LLMs, prompt engineering, fine-tuning
- Strong communication skills for technical concepts
- Fluent English and C1-level German
- Hands-on experience with cloud AI services
- Understanding of MLOps concepts
- Knowledge of PyTorch, TensorFlow, Hugging Face, LangChain, OpenAI APIs
- Awareness of software engineering principles
- Familiarity with Docker and Kubernetes
- Cloud certifications are a plus
- Teamwork and collaboration skills
- Adaptability and flexibility in roles
Tasks
- Design, build, and deploy scalable cloud systems
- Develop and operate agentic AI systems
- Lead end-to-end AI feature implementation
- Build high-performance APIs and backend services
- Integrate generative AI solutions into enterprise environments
- Design and implement AI orchestration and retrieval pipelines
- Set up and maintain MLOps/LLMOps pipelines
- Ensure software quality through testing and monitoring
- Collaborate with clients and teams on AI solutions
Education
- Bachelor's degree
Languages
- English – Native
- German – Business Fluent
Tools & Technologies
- Python
- Java
- Rust
- JavaScript
- PyTorch
- TensorFlow
- Hugging Face
- LangChain
- OpenAI APIs
- Docker
- Kubernetes
Benefits
Flexible Working
- Flexible working model
Learning & Development
- Access to training and certifications
- Conferences
- Knowledge-sharing events
Diverse Work
- Interdisciplinary projects
Other Benefits
- Collaboration with technology partners
Team Events
- Vibrant community
- Hackathons
Modern Office
- Award-winning office space
Parking & Commuter Benefits
- Great transport connections
Public Transport Subsidies
- Deutschlandticket
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Machine Learning Reply 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
Machine Learning Reply
Industry
IT
Description
Das Unternehmen bietet maßgeschneiderte End-to-End-Lösungen im Data-Science-Bereich an und unterstützt Kunden bei der Einführung datenbasierter Geschäftsmodelle.
Not a perfect match?
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Full-timeWith HomeofficeJuniorBerlin, Düsseldorf, Frankfurt am Main, Hamburg, München