Remote AI Jobs in Germany

Benefits

• Sabbatical

Skills

Benefits

• Sabbatical

Skills

Skills

Skills

Skills

Skills

Skills

Requirements

• Bachelor's/Master's Thesis on Process Model Validation
• Chemical Engineering
• Computational Engineering Science
• Computer Science
• Strong Interest in Thermodynamics
• Computer Science and Chemical Process Modelling
• Highly Motivated to Contribute to Sustainable Construction Materials

Benefits

• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus
• Remote Work

Skills

Requirements

• Academic Degree in Law
• Professional experience in data privacy and artificial intelligence
• Project management experience in an international context
• Very good handling with MS Office software
• Business fluent German and English language skills
• Good communication skills and strong team player mentality
• Intercultural competence
• Passion for project management processes and systems

Benefits

• Company Retreats
• Conference Budget
• Coworking Space
• Dental Insurance
• Employee Assistance Program
• Employee Discounts
• Flexible Hours
• Gym Membership

Skills

Requirements

• Informatik or Software Engineering degree
• Fundamental programming knowledge
• Experience with AI-Coding-Assistants
• Basic knowledge of AI Security
• Rapid Prototyping skills
• Analytical thinking
• Good communication skills

Benefits

• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• Information Security & AI expertise
• Proven experience in information security and model/AI risk within financial services or asset management
• Strong knowledge of AI and model governance, including MLOps and lifecycle management
• Familiarity with security and third-party risk controls for AI systems
• Experience with threat modelling using internationally recognized frameworks (e.g., MITRE, STRIDE)
• Regulatory, Security & responsible AI knowledge
• Deep understanding of security and AI regulations (e.g., DORA, EU AI Act)

Benefits

• Company Retreats
• Conference Budget
• Coworking Space
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts
• Flexible Hours

Skills

Requirements

• Information Security & AI expertise
• Proven experience in information security and model/AI risk within financial services or asset management
• Strong knowledge of AI and model governance, including MLOps and lifecycle management
• Familiarity with security and third-party risk controls for AI systems
• Experience with threat modelling using internationally recognized frameworks (e.g., MITRE, STRIDE)
• Regulatory, Security & responsible AI knowledge
• Deep understanding of security and AI regulations (e.g., DORA, EU AI Act)

Benefits

• Company Retreats
• Conference Budget
• Coworking Space
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts
• Flexible Hours

Skills

Requirements

• University degree in law, business, economics or information technology
• 1-5 years of professional working experience in data privacy, legal, information security, AI governance or consulting
• Experience in project and process management methods and techniques
• Client-facing environments
• English proficiency (C2)

Benefits

• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• 5+ years of experience in AI security and privacy
• Strong understanding of security architecture and threat modeling
• Experience with cloud security and Kubernetes
• Ability to work in a fast-paced environment
• Strong communication and collaboration skills
• Experience with security analysis and incident response
• Ability to design and implement secure AI systems

Benefits

• Health Insurance
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Flexible Hours
• Gym Membership
• Home Office Budget
• Internet Stipend

Skills

Requirements

• Bachelor's degree in Computer Science, Engineering, Data Science, or related field
• Proven experience designing and implementing evaluation methodologies for AI systems
• Strong knowledge of metrics for AI performance, robustness, and fairness
• Expertise in at least 3 of the following: benchmarking frameworks, statistical validation, synthetic data generation, adversarial testing, explainability techniques
• Proficiency in Python and ML libraries (e.g., PyTorch, TensorFlow) and familiarity with evaluation tools (e.g., OpenAI Evals, Dynabench, Promptfoo)
• Ability to communicate complex evaluation results to technical and non-technical stakeholders and influence model improvements

Benefits

• Health Insurance
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Flexible Hours
• Gym Membership
• Home Office Budget
• Learning Budget

Skills