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Senior Machine Learning Software Engineer(m/w/x)
Building and scaling online feature stores for real-time ML in mobility solutions, advancing feature engineering. Experience with Kafka, Apache Flink, and JVM-based ecosystems required. Sabbatical and special leave policies, plus birthday off on 24th and 31st December.
Requirements
- Strong software engineering background
- Expertise in Python
- Familiarity with JVM-based ecosystems such as Java or Kotlin
- Hands-on experience with streaming technologies
- Experience in real-time data processing using Kafka and Apache Flink
- Proven experience designing, developing, and maintaining microservices
- Experience with online ML use cases at scale
- Team player
- Continuous learner
- Ability to collaborate effectively across teams
- Fluency in English
Tasks
- Develop and maintain high-performance, data-driven systems
- Advance real-time feature engineering and online feature serving
- Build and scale an online feature store for serving and training workflows
- Maintain and improve CI/CD pipelines in testing and production environments
- Implement and optimize solutions for critical business problems
- Collaborate with Machine Learning Engineers and Data Scientists to enhance MLOps practices
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Kafka
- Apache Flink
Benefits
Flexible Working
- Flexible working arrangements
Learning & Development
- LinkedIn Learning
Workation & Sabbatical
- Sabbatical & special leave policies
Other Benefits
- WeRoad partnership
- Short term EU work policy
- Mobility Credit
More Vacation Days
- Birthday off on 24th and 31st December
Healthcare & Fitness
- Health insurance
Mental Health Support
- Employee assistance program
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Senior Machine Learning Software Engineer(m/w/x)
Building and scaling online feature stores for real-time ML in mobility solutions, advancing feature engineering. Experience with Kafka, Apache Flink, and JVM-based ecosystems required. Sabbatical and special leave policies, plus birthday off on 24th and 31st December.
Requirements
- Strong software engineering background
- Expertise in Python
- Familiarity with JVM-based ecosystems such as Java or Kotlin
- Hands-on experience with streaming technologies
- Experience in real-time data processing using Kafka and Apache Flink
- Proven experience designing, developing, and maintaining microservices
- Experience with online ML use cases at scale
- Team player
- Continuous learner
- Ability to collaborate effectively across teams
- Fluency in English
Tasks
- Develop and maintain high-performance, data-driven systems
- Advance real-time feature engineering and online feature serving
- Build and scale an online feature store for serving and training workflows
- Maintain and improve CI/CD pipelines in testing and production environments
- Implement and optimize solutions for critical business problems
- Collaborate with Machine Learning Engineers and Data Scientists to enhance MLOps practices
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Kafka
- Apache Flink
Benefits
Flexible Working
- Flexible working arrangements
Learning & Development
- LinkedIn Learning
Workation & Sabbatical
- Sabbatical & special leave policies
Other Benefits
- WeRoad partnership
- Short term EU work policy
- Mobility Credit
More Vacation Days
- Birthday off on 24th and 31st December
Healthcare & Fitness
- Health insurance
Mental Health Support
- Employee assistance program
About the Company
FREENOW
Industry
IT
Description
The company empowers smarter mobility decisions, helping people to move freely and cities to thrive.
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