Resaro
Senior Software Engineer(m/w/x)
Vollzeitnur vor OrtSenior
München
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
REResaro
Senior/AI Engineer(m/w/x)
München
VollzeitVor OrtBerufserfahren
AI/ML
Data Science
Nejo KI-Zusammenfassung
Building custom AI testing software for government and commercial clients. Production AI model deployment and fine-tuning experience required. Hybrid work, 4-day work week.
Anforderungen
- 3-7 years AI/ML engineering experience
- Strong Python skills
- Experience with ML frameworks
- Depth in LLM/NLP, computer vision, or RL
- Production model deployment experience
- Understanding of evaluation methodology
- Ability to bridge research and engineering
- Clear communication of AI concepts
- MSc or PhD in AI/ML or related field
- Experience with LLM fine-tuning, RLHF, or prompt engineering
- Computer vision expertise
- Reinforcement learning experience
- Experience with ROS2, edge AI, or simulation
- Published research or open-source contributions
- Experience in defence, pharma, or regulated industries
- Experience with air-gapped or on-premise deployment
- Production-grade code writing ability
- Clear documentation and handover skills
- Independent operation and decision-making
- T-shaped profile: depth and breadth of knowledge
Aufgaben
- Build AI models and model-based features
- Integrate AI into the product
- Build, deploy, and maintain AI models in production
- Fine-tune AI models
- Serve and monitor AI models
- Design evaluation methodologies for AI systems
- Implement test plans for AI systems
- Develop quality frameworks for AI systems
- Build agentic AI systems using specified frameworks
- Create synthetic data generation pipelines
- Develop adversarial test cases
- Generate benchmark datasets
- Own model serving infrastructure
- Manage MLOps pipelines
- Automate AI deployments
- Research model behavior
- Track global state-of-the-art across domains
- Translate research findings into product improvements
- Package AI capabilities for customer environments
- Deploy AI capabilities for edge deployments
- Deploy AI capabilities for air-gapped deployments
- Contribute to technical differentiation of testing products
Berufserfahrung
- 3 - 7 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- TensorFlow
- LLM/NLP
- Computer vision
- Reinforcement learning
- ROS2
- Edge AI
- Gazebo
- Isaac Sim
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Resaro 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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REResaro
Senior/AI Engineer(m/w/x)
München
VollzeitVor OrtBerufserfahren
AI/ML
Data Science
Nejo KI-Zusammenfassung
Building custom AI testing software for government and commercial clients. Production AI model deployment and fine-tuning experience required. Hybrid work, 4-day work week.
Anforderungen
- 3-7 years AI/ML engineering experience
- Strong Python skills
- Experience with ML frameworks
- Depth in LLM/NLP, computer vision, or RL
- Production model deployment experience
- Understanding of evaluation methodology
- Ability to bridge research and engineering
- Clear communication of AI concepts
- MSc or PhD in AI/ML or related field
- Experience with LLM fine-tuning, RLHF, or prompt engineering
- Computer vision expertise
- Reinforcement learning experience
- Experience with ROS2, edge AI, or simulation
- Published research or open-source contributions
- Experience in defence, pharma, or regulated industries
- Experience with air-gapped or on-premise deployment
- Production-grade code writing ability
- Clear documentation and handover skills
- Independent operation and decision-making
- T-shaped profile: depth and breadth of knowledge
Aufgaben
- Build AI models and model-based features
- Integrate AI into the product
- Build, deploy, and maintain AI models in production
- Fine-tune AI models
- Serve and monitor AI models
- Design evaluation methodologies for AI systems
- Implement test plans for AI systems
- Develop quality frameworks for AI systems
- Build agentic AI systems using specified frameworks
- Create synthetic data generation pipelines
- Develop adversarial test cases
- Generate benchmark datasets
- Own model serving infrastructure
- Manage MLOps pipelines
- Automate AI deployments
- Research model behavior
- Track global state-of-the-art across domains
- Translate research findings into product improvements
- Package AI capabilities for customer environments
- Deploy AI capabilities for edge deployments
- Deploy AI capabilities for air-gapped deployments
- Contribute to technical differentiation of testing products
Berufserfahrung
- 3 - 7 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- TensorFlow
- LLM/NLP
- Computer vision
- Reinforcement learning
- ROS2
- Edge AI
- Gazebo
- Isaac Sim
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Resaro 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
Resaro
Branche
IT
Beschreibung
The company is a global AI Assurance company, pioneering the field of AI testing and evaluation.
Noch nicht perfekt?
- Resaro
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Vollzeitnur vor OrtSeniorMünchen