Dein persönlicher KI-Karriere-Agent
(Senior) Data Science & AI Engineer(m/w/x)
Implementing and enhancing LLM and RAG applications using LangChain for various projects. Deep knowledge of Computer Vision with PyTorch and containerization technologies required. Flexible work from home, company celebrations.
Anforderungen
- Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field
- Minimum 3 years Data Science & Software Engineering experience with proven project implementation
- Hands-on experience in UNIX/Linux (Ubuntu) environments
- Proficiency in LLM/RAG frameworks (e.g., LangChain) and real-world applications
- Deep knowledge of Computer Vision with PyTorch and containerization technologies (Docker, Docker Compose)
- Solid understanding of Git for version control and CI/CD pipelines (Drone)
- Self-motivation, team orientation, and analytical problem-solving mindset
- Fluency in English; proficiency in German is a plus
Aufgaben
- Shape the future of AI in the company
- Develop cutting-edge AI solutions
- Drive innovation from day one
- Optimize AI/ML applications for various projects
- Implement and enhance LLM and RAG applications using LangChain
- Develop and train computer vision models using PyTorch
- Design and implement software solutions in Python
- Set up and manage containers with Docker and Docker Compose
- Maintain code versioning with Git
- Ensure seamless deployment processes using CI/CD pipelines
- Collaborate with interdisciplinary teams to integrate AI/LLM solutions
Berufserfahrung
- 3 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – fließend
- Deutsch – Grundkenntnisse
Tools & Technologien
- UNIX/Linux
- Ubuntu
- LLM/RAG frameworks
- LangChain
- Computer Vision
- PyTorch
- Docker
- Docker Compose
- Git
- CI/CD pipelines
- Drone
Benefits
Flexibles Arbeiten
- Flexible work from home
Team Events & Ausflüge
- Company celebrations
Snacks & Getränke
- Coffee breaks with croissants
Lockere Unternehmenskultur
- Collegial company culture
- Team spirit
- Flat hierarchies
Abwechslungsreiche Aufgaben
- Diverse tasks
Weiterbildungsangebote
- Generous training budget
- Dedicated time for professional development
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(Senior) Data Science & AI Engineer(m/w/x)
Implementing and enhancing LLM and RAG applications using LangChain for various projects. Deep knowledge of Computer Vision with PyTorch and containerization technologies required. Flexible work from home, company celebrations.
Anforderungen
- Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field
- Minimum 3 years Data Science & Software Engineering experience with proven project implementation
- Hands-on experience in UNIX/Linux (Ubuntu) environments
- Proficiency in LLM/RAG frameworks (e.g., LangChain) and real-world applications
- Deep knowledge of Computer Vision with PyTorch and containerization technologies (Docker, Docker Compose)
- Solid understanding of Git for version control and CI/CD pipelines (Drone)
- Self-motivation, team orientation, and analytical problem-solving mindset
- Fluency in English; proficiency in German is a plus
Aufgaben
- Shape the future of AI in the company
- Develop cutting-edge AI solutions
- Drive innovation from day one
- Optimize AI/ML applications for various projects
- Implement and enhance LLM and RAG applications using LangChain
- Develop and train computer vision models using PyTorch
- Design and implement software solutions in Python
- Set up and manage containers with Docker and Docker Compose
- Maintain code versioning with Git
- Ensure seamless deployment processes using CI/CD pipelines
- Collaborate with interdisciplinary teams to integrate AI/LLM solutions
Berufserfahrung
- 3 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – fließend
- Deutsch – Grundkenntnisse
Tools & Technologien
- UNIX/Linux
- Ubuntu
- LLM/RAG frameworks
- LangChain
- Computer Vision
- PyTorch
- Docker
- Docker Compose
- Git
- CI/CD pipelines
- Drone
Benefits
Flexibles Arbeiten
- Flexible work from home
Team Events & Ausflüge
- Company celebrations
Snacks & Getränke
- Coffee breaks with croissants
Lockere Unternehmenskultur
- Collegial company culture
- Team spirit
- Flat hierarchies
Abwechslungsreiche Aufgaben
- Diverse tasks
Weiterbildungsangebote
- Generous training budget
- Dedicated time for professional development
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Wüest Partner
Branche
IT
Beschreibung
Das Unternehmen ist ein innovatives und unabhängiges Dienstleistungsunternehmen in der Immobilienwirtschaft, das seit 1985 fundierte Entscheidungsgrundlagen schafft.
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