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Machine Learning Engineer(m/w/x)
Developing and deploying NLP models and search engines for reputational risk data. Expert Python and SQL skills required. Up to 4 weeks working abroad, flexible hours.
Requirements
- Master's degree in Computer Science, Engineering, Statistics, or related STEM field
- Expert Python skills and solid SQL proficiency
- Developing and deploying NLP models, information retrieval systems, and search engines
- Integrating AI and LLMs into ML pipelines
- Software engineering best practices for clean, maintainable, scalable code
- Cloud platforms, CI/CD workflows, and containerized environments
- Proactive mindset with ownership and solution-driving ability
- Analytical thinking, structured problem-solving, efficient execution
- Excellent communication skills and English fluency
- Low-code languages like C++ or Java
- AWS, particularly SageMaker
- Fine-tuning or training LLMs
- Building and managing data pipelines
- Valid work permit
Tasks
- Design and implement ML features
- Build and optimize multifaceted search engines
- Develop, integrate, and maintain microservices
- Apply advancements in ML and LLMs
- Train, evaluate, and optimize models
- Collaborate with ML engineers, backend engineers, and product owners
- Contribute to a well-balanced tech stack
- Ensure clean, high-quality code
- Participate in Agile/Scrum processes
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Native
Tools & Technologies
- Python
- SQL
- NLP
- AI
- LLMs
- CI/CD
- AWS
- SageMaker
- C++
- Java
Benefits
Flexible Working
- Flexible working hours
- Hybrid model
Workation & Sabbatical
- Up to 4 weeks working abroad
Learning & Development
- Paid training days
Purpose-Driven Work
- Paid volunteering days
Social Impact
- Charity donation matching
Healthcare & Fitness
- Health and fitness subsidy
Team Events
- Team and social events
Snacks & Drinks
- Complimentary coffee
- Complimentary refreshments
- Complimentary fresh fruit
- Complimentary healthy snacks
- Home
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- Machine Learning EngineerMachine Learning Engineer at RepRisk AG
Machine Learning Engineer(m/w/x)
Developing and deploying NLP models and search engines for reputational risk data. Expert Python and SQL skills required. Up to 4 weeks working abroad, flexible hours.
Requirements
- Master's degree in Computer Science, Engineering, Statistics, or related STEM field
- Expert Python skills and solid SQL proficiency
- Developing and deploying NLP models, information retrieval systems, and search engines
- Integrating AI and LLMs into ML pipelines
- Software engineering best practices for clean, maintainable, scalable code
- Cloud platforms, CI/CD workflows, and containerized environments
- Proactive mindset with ownership and solution-driving ability
- Analytical thinking, structured problem-solving, efficient execution
- Excellent communication skills and English fluency
- Low-code languages like C++ or Java
- AWS, particularly SageMaker
- Fine-tuning or training LLMs
- Building and managing data pipelines
- Valid work permit
Tasks
- Design and implement ML features
- Build and optimize multifaceted search engines
- Develop, integrate, and maintain microservices
- Apply advancements in ML and LLMs
- Train, evaluate, and optimize models
- Collaborate with ML engineers, backend engineers, and product owners
- Contribute to a well-balanced tech stack
- Ensure clean, high-quality code
- Participate in Agile/Scrum processes
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Native
Tools & Technologies
- Python
- SQL
- NLP
- AI
- LLMs
- CI/CD
- AWS
- SageMaker
- C++
- Java
Benefits
Flexible Working
- Flexible working hours
- Hybrid model
Workation & Sabbatical
- Up to 4 weeks working abroad
Learning & Development
- Paid training days
Purpose-Driven Work
- Paid volunteering days
Social Impact
- Charity donation matching
Healthcare & Fitness
- Health and fitness subsidy
Team Events
- Team and social events
Snacks & Drinks
- Complimentary coffee
- Complimentary refreshments
- Complimentary fresh fruit
- Complimentary healthy snacks
About the Company
RepRisk AG
Industry
IT
Description
RepRisk is the world’s most respected Data as a Service (DaaS) company for reputational risks and responsible business conduct.
Not a perfect match?
- Daedalean
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Senior Machine Learning Engineer (Computer Vision)(m/w/x)
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Senior Data Engineer(m/w/x)
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