Your personal AI career agent
Advancing hybrid AI architecture and scaling patented engine for healthcare answers. Hands-on LLM experience with RAG and Agents required. 30 days holiday, corporate health insurance.
Requirements
- Master’s degree in quantitative field
- 3+ years industry experience in AI/ML
- Proficiency in Python and Java
- Practical experience with classic ML and algorithms
- Hands-on experience with LLMs (RAG and Agents)
- Solid grasp of modern DevOps and AI-assisted development
- High degree of autonomy and collaborative peer reviews
- Experience in cross-functional teams
- Strong foundation in mathematics, logic, or statistical modelling
- Exposure to healthcare sector or regulated environments
- Familiarity with Kotlin, advanced data visualisation, or MLOps
Tasks
- Advance development of hybrid AI architecture
- Refine and scale patented hybrid engine
- Focus on interface between LLM-based reasoning and probabilistic logic
- Write and deploy high-availability production code in Java and Python
- Ensure code adheres to security and scalability standards
- Maintain internal evaluation and validation frameworks
- Extend synthetic data generation capabilities
- Implement automated metric tracking
- Enhance model explainability
- Translate complex medical requirements into technical specifications
- Collaborate with Medical Experts and AI Engineers
- Provide technical documentation for stakeholders
- Ensure regulatory compliance (e.g., SaMD)
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Native
Tools & Technologies
- Python
- Java
- Probabilistic Graphical Models
- LLMs
- RAG
- Agents
- DevOps
- Containerization
- CI/CD
- Automated Testing
- AI-assisted development
- Cursor
- Claude Code
- Kotlin
- MLOps
Benefits
Flexible Working
- Flexible working hours
More Vacation Days
- 28 days holiday
- 30 days holiday
Healthcare & Fitness
- Corporate health insurance
- Discounted ClassPass membership
- Urban Sports Club membership
Retirement Plans
- Pension scheme
Modern Equipment
- Home office setup support
Startup Environment
- Co-working space subscription
Generous Parental Leave
- Parental benefits
Childcare
- Nursery benefits
Mental Health Support
- Employee Assistance Programs
Company Bike
- Bike Leasing Scheme
Learning & Development
- Online Academy
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Advancing hybrid AI architecture and scaling patented engine for healthcare answers. Hands-on LLM experience with RAG and Agents required. 30 days holiday, corporate health insurance.
Requirements
- Master’s degree in quantitative field
- 3+ years industry experience in AI/ML
- Proficiency in Python and Java
- Practical experience with classic ML and algorithms
- Hands-on experience with LLMs (RAG and Agents)
- Solid grasp of modern DevOps and AI-assisted development
- High degree of autonomy and collaborative peer reviews
- Experience in cross-functional teams
- Strong foundation in mathematics, logic, or statistical modelling
- Exposure to healthcare sector or regulated environments
- Familiarity with Kotlin, advanced data visualisation, or MLOps
Tasks
- Advance development of hybrid AI architecture
- Refine and scale patented hybrid engine
- Focus on interface between LLM-based reasoning and probabilistic logic
- Write and deploy high-availability production code in Java and Python
- Ensure code adheres to security and scalability standards
- Maintain internal evaluation and validation frameworks
- Extend synthetic data generation capabilities
- Implement automated metric tracking
- Enhance model explainability
- Translate complex medical requirements into technical specifications
- Collaborate with Medical Experts and AI Engineers
- Provide technical documentation for stakeholders
- Ensure regulatory compliance (e.g., SaMD)
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Native
Tools & Technologies
- Python
- Java
- Probabilistic Graphical Models
- LLMs
- RAG
- Agents
- DevOps
- Containerization
- CI/CD
- Automated Testing
- AI-assisted development
- Cursor
- Claude Code
- Kotlin
- MLOps
Benefits
Flexible Working
- Flexible working hours
More Vacation Days
- 28 days holiday
- 30 days holiday
Healthcare & Fitness
- Corporate health insurance
- Discounted ClassPass membership
- Urban Sports Club membership
Retirement Plans
- Pension scheme
Modern Equipment
- Home office setup support
Startup Environment
- Co-working space subscription
Generous Parental Leave
- Parental benefits
Childcare
- Nursery benefits
Mental Health Support
- Employee Assistance Programs
Company Bike
- Bike Leasing Scheme
Learning & Development
- Online Academy
About the Company
Ada Health GmbH
Industry
Healthcare
Description
The company helps people get answers faster in healthcare, identifying those at risk and guiding them to the right care.
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