Machine Learning Software Engineer

Mlops
10 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Tech stack

Java
Amazon Web Services (AWS)
Java Virtual Machine (JVM)
Python
Machine Learning
Software Engineering
Feature Engineering
Kotlin
Kubernetes
Apache Flink
Real Time Data
Kafka
Machine Learning Operations
Marketplace
Databricks
Microservices

Job description

only our business but also the daily experiences of our users.\u003c/p\u003e\n\u003cp\u003eBe ready to work in a multinational, diverse, highly motivated and collaborative team of passionate developers who strive for excellence and like to have fun.\u0026nbsp; Are you ready for your next ride?\u003c/p\u003e\n\u003chr\u003e\n\u003ch2\u003e\u003cstrong\u003eYOUR DAILY ADVENTURES WILL INCLUDE:\u003c/strong\u003e\u003c/h2\u003e\n\u003cul\u003e\n\u003cli\u003eDeveloping and maintaining high-performance, data-driven systems in a distributed infrastructure that impact our marketplace performance.\u003c/li\u003e\n\u003cli\u003eAdvancing the state of the art in real-time feature engineering and online feature serving across all marketplace use cases.\u003c/li\u003e\n\u003cli\u003eBuilding and scaling an online feature store that unifies serving and training workflows.\u003c/li\u003e\n\u003cli\u003eMaintaining, improving, and monitoring robust CI/CD pipelines across testing and production, Kotlin.\u003c/li\u003e\n\u003cli\u003eYou bring hands-on experience with streaming technologies and real-time data processing, preferably using Kafka and Apache Flink.\u003c/li\u003e\n\u003cli\u003eYou have proven experience designing, developing, and maintaining microservices for online ML use cases at scale.\u003c/li\u003e\n\u003cli\u003eYou thrive as a team player and continuous learner, with a proven ability to collaborate effectively across data, tech, and product teams, as well as with other stakeholders.\u003c/li\u003e\n\u003cli\u003eYou are fluent in English - our international team brings together people from around the world, and English is our common language, besides Python.\u003c/li\u003e\n\u003c/ul\u003e\n\u003chr\u003e\n\u003ch2\u003e\u003cstrong\u003eBENEFITS \u0026amp; PERKS IN A NUTSHELL:\u003c/strong\u003e\u003c/h2\u003e\n\n\n\n\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eFlexible working arrangements\u003c/span\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\n\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eLinkedIn Learning\u003c/span\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\n\n\n\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eSabbatical \u0026amp; special leave policies\u003c/span\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\n\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eWeRoad partnership\u003c/span\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\n\n\n\n\u003cul\u003e\n\u003cli\u003eBirthday, 24th + 31st December off\u003c/li\u003e\n\u003c/ul\u003e\n\n\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eShort term EU work policy\u003c/span\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\n\n\n\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eMobility Credit\u003c/span\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\n\n\u003cul\u003e\n\u003cli\u003eHealth insurance\u003c/li\u003e\n\u003c/ul\u003e\n\n\n\n\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eEmployee assistance

Requirements

environments.\u003c/li\u003e\n\u003cli\u003eImplementing and optimizing solutions to some of our most business critical problems as part of a cross functional team consisting of Data and Software Engineering professionals.\u003c/li\u003e\n\u003cli\u003eCollaborating with Machine Learning Engineers, Data Scientists, Data Platform Engineers to advance MLOps practices within Freenow Marketplace.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003eOur Techstack\u003c/strong\u003e\u003cspan\u003e:\u0026nbsp;\u003c/span\u003ePython | Java | Kafka | Flink | Kubernetes | Databricks | AWS \u0026amp;\u0026nbsp;\u003ca href="https://stackshare.io/free-now"\u003emore\u003c/a\u003e\u003c/p\u003e\n\u003chr\u003e\n\u003ch2\u003e\u003cstrong\u003eTO BE SUCCESSFUL IN THIS ROLE:\u003c/strong\u003e\u003c/h2\u003e\n\u003cul\u003e\n\u003cli\u003eYou have a strong software engineering background, ideally with expertise in Python and familiarity with JVM-based ecosystems such as Java or

About the company

[{"@context":"http://schema.org","@type":"JobPosting","datePosted":"2025-11-12T11:53:03Z","description":"\u003cdiv class=\"trix-content\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eLocation\u003c/em\u003e\u003c/strong\u003e\u003cem\u003e\u003cspan\u003e: We are flexible! Come and join us either in Hamburg, Berlin, Barcelona or Athens.\u0026nbsp;\u003c/span\u003e\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eFreenow empowers smarter mobility decisions helping people to move freely and cities to thrive.\u003c/p\u003e\n\u003cp\u003eThe Freenow marketplace is a real-time, two-sided platform connecting riders and drivers. Its efficiency and scalability are powered by a sophisticated ecosystem of Machine Learning systems spanning key domains such as Pricing, Allocation, and Marketplace Fraud.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eIn this role, you'll help drive our MLOps platform online Inference and real-time Feature Engineering capabilities, across multiple use cases that shape not

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