Scandit
Senior Machine Learning Engineer (Computer Vision)(m/w/x)
Full-timeWith HomeofficeSenior
Zürich
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RERepRisk AG
Senior Machine Learning Engineer(m/w/x)
Zürich
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Building multifaceted search engines and optimizing data aggregation for reputational risk analysis. End-to-end ML feature ownership and LLM integration required. Up to 4 weeks working abroad, flexible hours.
Requirements
- Master's degree in Computer Science, Engineering, Statistics, or related STEM field
- 5+ years of hands-on ML Engineer experience in production
- Expert Python skills and strong 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
- Designing and delivering scalable, production-grade ML systems and architectures
- Working with cloud platforms, CI/CD workflows, and containerized environments
- Leading technical initiatives with ownership and accountability
- Strong mentoring skills and ability to guide junior team members
- Proactive mindset with ownership, solution-driving, and navigating ambiguity
- Strong analytical thinking, structured problem-solving, efficient execution
- Excellent communication skills and fluency in English
- Experience in low-code languages like C++ or Java
- Working with AWS, particularly SageMaker
- Fine-tuning or training LLMs
- Building and managing data pipelines
- Valid work permit
Tasks
- Design and implement advanced ML features
- Take end-to-end ownership from ideation to production
- Architect and build multifaceted search engines
- Optimize data aggregation and retrieval across sources
- Design scalable system architectures
- Drive technical decisions for long-term maintainability
- Develop and maintain microservices within applications
- Apply and guide adoption of latest ML advancements
- Train, evaluate, and optimize models for performance
- Mentor and support other ML engineers
- Foster a collaborative and high-performing culture
- Collaborate with ML engineers, backend engineers, and product owners
- Act as a technical lead in cross-functional initiatives
- Contribute to a well-balanced tech stack
- Prioritize simplicity, maintainability, and efficiency
- Ensure high-quality, maintainable code
- Conduct thorough code reviews
- Participate in Agile/Scrum processes
- Share insights and feedback
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Fluent
Tools & Technologies
- Python
- SQL
- NLP
- AI
- LLMs
- ML
- 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
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of RepRisk AG 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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RERepRisk AG
Senior Machine Learning Engineer(m/w/x)
Zürich
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Building multifaceted search engines and optimizing data aggregation for reputational risk analysis. End-to-end ML feature ownership and LLM integration required. Up to 4 weeks working abroad, flexible hours.
Requirements
- Master's degree in Computer Science, Engineering, Statistics, or related STEM field
- 5+ years of hands-on ML Engineer experience in production
- Expert Python skills and strong 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
- Designing and delivering scalable, production-grade ML systems and architectures
- Working with cloud platforms, CI/CD workflows, and containerized environments
- Leading technical initiatives with ownership and accountability
- Strong mentoring skills and ability to guide junior team members
- Proactive mindset with ownership, solution-driving, and navigating ambiguity
- Strong analytical thinking, structured problem-solving, efficient execution
- Excellent communication skills and fluency in English
- Experience in low-code languages like C++ or Java
- Working with AWS, particularly SageMaker
- Fine-tuning or training LLMs
- Building and managing data pipelines
- Valid work permit
Tasks
- Design and implement advanced ML features
- Take end-to-end ownership from ideation to production
- Architect and build multifaceted search engines
- Optimize data aggregation and retrieval across sources
- Design scalable system architectures
- Drive technical decisions for long-term maintainability
- Develop and maintain microservices within applications
- Apply and guide adoption of latest ML advancements
- Train, evaluate, and optimize models for performance
- Mentor and support other ML engineers
- Foster a collaborative and high-performing culture
- Collaborate with ML engineers, backend engineers, and product owners
- Act as a technical lead in cross-functional initiatives
- Contribute to a well-balanced tech stack
- Prioritize simplicity, maintainability, and efficiency
- Ensure high-quality, maintainable code
- Conduct thorough code reviews
- Participate in Agile/Scrum processes
- Share insights and feedback
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Fluent
Tools & Technologies
- Python
- SQL
- NLP
- AI
- LLMs
- ML
- 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
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of RepRisk AG 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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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.
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