senior machine learning software engineer

In this role, you’ll help drive our MLOps platform online Inference and real-time Feature Engineering capabilities, across multiple use cases that shape not only our business but also the daily experiences of our users.

Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate developers who strive for excellence and like to have fun.  Are you ready for your next ride?

YOUR DAILY ADVENTURES WILL INCLUDE:

• Developing and maintaining high-performance, data-driven systems in a distributed infrastructure that impact our marketplace performance.

• Advancing the state of the art in real-time feature engineering and online feature serving across all marketplace use cases.

• Building and scaling an online feature store that unifies serving and training workflows.

• Maintaining, improving, and monitoring robust CI/CD pipelines across testing and production environments.

• Implementing 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.

• Collaborating with Machine Learning Engineers, Data Scientists, Data Platform Engineers to advance MLOps practices within Freenow Marketplace.

Our Techstack: Python | Java | Kafka | Flink | Kubernetes | Databricks | AWS & more

TO BE SUCCESSFUL IN THIS ROLE:

• You have a strong software engineering background, ideally with expertise in Python and familiarity with JVM-based ecosystems such as Java or Kotlin.

• You bring hands-on experience with streaming technologies and real-time data processing, preferably using Kafka and Apache Flink.

• You have proven experience designing, developing, and maintaining microservices for online ML use cases at scale.

• You 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.

• You are fluent in English — our international team brings together people from around the world, and English is our common language, besides Python.

BENEFITS & PERKS IN A NUTSHELL:

• Flexible working arrangements

• LinkedIn Learning

• Sabbatical & special leave policies

• WeRoad partnership

• Birthday, 24th + 31st December off

• Short term EU work policy

• Mobility Credit

• Health insurance

• Employee assistance program

Plus more local benefits depending on your work location!