Olmatic GmbH
AI & ML Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahren
Stuttgart, München
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BOBosch Group
Research Engineer - Reinforcement Learning and Agentic AI(m/w/x)
Renningen
Vollzeit, Teilzeitmit HomeofficeBerufserfahren
AI/ML
Data Science
Nejo KI-Zusammenfassung
Architecting multi-modal large models and multi-agent systems for industrial technology applications. PhD in Computer Science and strong publication record in leading AI conferences required. Flexible mobile working and job sharing options.
Anforderungen
- PhD in Computer Science or related
- Strong publication record in leading conferences
- Experience in Deep Reinforcement Learning
- Expertise in Safe or Multi-agent RL
- Track record with Agentic AI/LLMs
- Experience with advanced fine-tuning methods
- Excellent knowledge of Python
- Knowledge of Machine Learning frameworks
- Good knowledge of C++
- Software development experience in teams
- Background in MLOps and CI/CD
- Methodical and solution-oriented approach
- High-quality standards and responsibility
- Ability to drive AI implementations
- Enthusiasm for solving technical challenges
- Very good English skills
- German language skills as a plus
Aufgaben
- Architect, develop, and deploy sophisticated AI systems
- Integrate reinforcement learning with agentic AI and multi-modal models
- Train and fine-tune multi-modal large models
- Align model behaviors with product requirements and use cases
- Enhance existing machine learning systems
- Integrate generative approaches with safe reinforcement learning algorithms
- Conduct original research at the confluence of RL and agentic AI
- Lead high-impact projects to solve scientific and applied problems
- Partner with internal customers and product teams
- Conceptualize innovative solutions and deliver high-quality MVPs
- Publish and present research findings in premier academic venues
- Contribute actively to the broader scientific community
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
- Deutsch – Grundkenntnisse
Tools & Technologien
- Python
- PyTorch
- Hugging Face
- JAX
- TensorFlow
- C++
- ROS 2
- MLOps
- CI/CD
Benefits
Flexibles Arbeiten
- Flexible working models
- Part-time options
- Mobile working
- Job sharing
Lockere Unternehmenskultur
- Diverse and inclusive culture
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Bosch Group erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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Principal AI Architect(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenWalldorf, Hamburg, Berlin, Ratingen, Eschborn, Gerlingen, Hallbergmoos, München, Garching bei München - SAP
Principal AI Architect & Advisor(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenWalldorf, Hamburg, Berlin, Ratingen, Eschborn, Gerlingen, Hallbergmoos, Garching bei München
BOBosch Group
Research Engineer - Reinforcement Learning and Agentic AI(m/w/x)
Renningen
Vollzeit, Teilzeitmit HomeofficeBerufserfahren
AI/ML
Data Science
Nejo KI-Zusammenfassung
Architecting multi-modal large models and multi-agent systems for industrial technology applications. PhD in Computer Science and strong publication record in leading AI conferences required. Flexible mobile working and job sharing options.
Anforderungen
- PhD in Computer Science or related
- Strong publication record in leading conferences
- Experience in Deep Reinforcement Learning
- Expertise in Safe or Multi-agent RL
- Track record with Agentic AI/LLMs
- Experience with advanced fine-tuning methods
- Excellent knowledge of Python
- Knowledge of Machine Learning frameworks
- Good knowledge of C++
- Software development experience in teams
- Background in MLOps and CI/CD
- Methodical and solution-oriented approach
- High-quality standards and responsibility
- Ability to drive AI implementations
- Enthusiasm for solving technical challenges
- Very good English skills
- German language skills as a plus
Aufgaben
- Architect, develop, and deploy sophisticated AI systems
- Integrate reinforcement learning with agentic AI and multi-modal models
- Train and fine-tune multi-modal large models
- Align model behaviors with product requirements and use cases
- Enhance existing machine learning systems
- Integrate generative approaches with safe reinforcement learning algorithms
- Conduct original research at the confluence of RL and agentic AI
- Lead high-impact projects to solve scientific and applied problems
- Partner with internal customers and product teams
- Conceptualize innovative solutions and deliver high-quality MVPs
- Publish and present research findings in premier academic venues
- Contribute actively to the broader scientific community
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
- Deutsch – Grundkenntnisse
Tools & Technologien
- Python
- PyTorch
- Hugging Face
- JAX
- TensorFlow
- C++
- ROS 2
- MLOps
- CI/CD
Benefits
Flexibles Arbeiten
- Flexible working models
- Part-time options
- Mobile working
- Job sharing
Lockere Unternehmenskultur
- Diverse and inclusive culture
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Bosch Group erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
Bosch Group
Branche
Engineering
Beschreibung
Das Unternehmen entwickelt hochwertige Technologien und Dienstleistungen, die das Leben der Menschen verbessern.
Noch nicht perfekt?
- Olmatic GmbH
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Vollzeitmit HomeofficeBerufserfahrenWalldorf, Hamburg, Berlin, Ratingen, Eschborn, Gerlingen, Hallbergmoos, Garching bei München