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Senior Machine Learning Engineer(m/w/x)
Building high-performance data systems for mobility pricing decisions, exposing ML models via APIs. Experience with streaming technologies and microservice development required. Sabbatical and special leave, mobility credit.
Requirements
- Experience with Statistical/Machine Learning models
- Experience with streaming technologies
- Effective communicator and team player
- Experience with data manipulation libraries
- Experience developing microservices
- Communication in English
- Passion for data science
Tasks
- Design and develop high-performance data systems.
- Work with large historical and real-time data sets.
- Expose machine learning models via APIs.
- Implement solutions for critical business problems.
- Enhance Data Science Software infrastructure.
- Maintain and monitor CI/CD pipelines.
- Champion best practices and foster technical growth.
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Statistical/Machine Learning models
- streaming technologies
- data manipulation libraries
Benefits
Flexible Working
- Flexible working arrangements
Workation & Sabbatical
- Sabbatical and special leave
More Vacation Days
- Birthday and holiday off
Other Benefits
- Mobility credit
- WeRoad partnership
- Short term EU work policy
Healthcare & Fitness
- Health insurance
Mental Health Support
- Employee assistance program
Learning & Development
- LinkedIn Learning access
Corporate Discounts
- Additional local benefits
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Senior Machine Learning Engineer(m/w/x)
Building high-performance data systems for mobility pricing decisions, exposing ML models via APIs. Experience with streaming technologies and microservice development required. Sabbatical and special leave, mobility credit.
Requirements
- Experience with Statistical/Machine Learning models
- Experience with streaming technologies
- Effective communicator and team player
- Experience with data manipulation libraries
- Experience developing microservices
- Communication in English
- Passion for data science
Tasks
- Design and develop high-performance data systems.
- Work with large historical and real-time data sets.
- Expose machine learning models via APIs.
- Implement solutions for critical business problems.
- Enhance Data Science Software infrastructure.
- Maintain and monitor CI/CD pipelines.
- Champion best practices and foster technical growth.
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Statistical/Machine Learning models
- streaming technologies
- data manipulation libraries
Benefits
Flexible Working
- Flexible working arrangements
Workation & Sabbatical
- Sabbatical and special leave
More Vacation Days
- Birthday and holiday off
Other Benefits
- Mobility credit
- WeRoad partnership
- Short term EU work policy
Healthcare & Fitness
- Health insurance
Mental Health Support
- Employee assistance program
Learning & Development
- LinkedIn Learning access
Corporate Discounts
- Additional local benefits
About the Company
FREENOW
Industry
IT
Description
The company focuses on building a world-class product in the dynamic space of mobility, solving large-scale, complex problems and enabling efficient pricing decisions.
Not a perfect match?
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