Agile Robots
Senior LLM / AI Engineer Predictive Maintenance Agent(m/w/x)
Full-timeOn-siteSenior
München
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REResaro
Senior/AI Engineer(m/w/x)
München
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- 3 - 7 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- LLM/NLP
- Computer vision
- Reinforcement learning
- ROS2
- Edge AI
- Gazebo
- Isaac Sim
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Resaro 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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REResaro
Senior/AI Engineer(m/w/x)
München
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- 3 - 7 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- LLM/NLP
- Computer vision
- Reinforcement learning
- ROS2
- Edge AI
- Gazebo
- Isaac Sim
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Resaro 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
Resaro
Industry
IT
Description
The company is a global AI Assurance company, pioneering the field of AI testing and evaluation.
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