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At FREE NOW we are at an exciting point in our history - we are building a world-class product that is being used daily by more than a million people. We are a part of one of the most dynamic spaces for innovation in today's world: shaping mobility. Our daily business is solving large-scale, complex problems – and we love it!We are keen on hiring a&nbsp;Senior Machine Learning Engineer&nbsp;(m/f/d) to productionise machine-learning models, implement services, and help grow our data science infrastructure. By being part of the Marketplace department, you will work closely with our Product Managers, Data Analysts, Data Scientists, Software Engineers and other Machine Learning Engineers to enable our business to make even smarter and more efficient pricing decisions.With us, you will stretch, learn and grow in a creative, diverse, and collaborative environment that encompasses more than 70 nationalities and 11 markets across Europe. Don’t join FREE NOW because of our perks or great office locations, join us if you can’t wait to disrupt the mobility industry with us!YOUR DAILY ADVENTURES WILL INCLUDE:<ul><li>Designing and developing high-performance, data-driven systems in a distributed infrastructure to determine the best pricing offers to our passengers and drivers and achieve a balanced marketplace.</li><li>Working with large, interesting data sets including historical, real-time and third-party data streams.</li><li>Exposing machine learning models and data pipelines via resilient and performant APIs.</li><li>Implementing and optimising solutions to some of our most business critical problems as part of a cross functional team consisting of Data and Software Engineering professionals.</li><li>Enhancing the Data Science Software infrastructure in close collaboration with a diverse group of Data experts.</li><li>Maintaining, improving and monitoring mature CI/CD pipelines in our testing and production environments.</li><li>Championing best practices across the organisation and fostering an environment of growth and technical excellence</li></ul>Our Tech Stack: SQL| Python | Airflow | Java | Kubernetes | Kafka Streams| AWS &amp;<a target="_blank" rel="noopener noreferrer nofollow" href="https://stackshare.io/free-now">&nbsp;more</a>TO BE SUCCESSFUL IN THIS ROLE:<ul><li>You are experienced training, deploying, serving and monitoring Statistical/Machine Learning models on large-scale datasets in production.</li><li>You have experience with streaming technologies and real-time data processing</li><li>You excel as an effective communicator, a team player, and an avid learner, with a proven capacity to collaborate seamlessly with diverse teams, including those in data, tech, and product, as well as other stakeholders.</li><li>Experience with data manipulation and machine learning libraries</li><li>You have experience developing and maintaining microservices in a production environment</li><li>You can communicate in English. We are a very diverse team with people from all over the world and English is our language of communication, besides Python.</li><li>You are passionate about harnessing data science and have the will to play an essential role in the future of urban transportation.</li></ul>BENEFITS &amp; PERKS IN A NUTSHELL:<ul><li>Flexible working arrangements</li></ul><ul><li>LinkedIn Learning</li></ul><ul><li>Sabbatical &amp; special leave policies</li></ul><ul><li>WeRoad partnership</li></ul><ul><li>Birthday, 24th + 31st December off</li></ul><ul><li>Short term EU work policy</li></ul><ul><li>Mobility Credit</li></ul><ul><li>Health Insurance</li></ul><ul><li>Employee assistance program</li></ul>&nbsp;Plus more local benefits depending on your work location!&nbsp;DIVERSITY, EQUITY &amp; INCLUSION:FREE NOW is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age. We want you to grow and evolve,&nbsp;<a target="_blank" rel="noopener noreferrer nofollow" href="https://www.youtube.com/watch?v=dOUL_n8pSGQ">bring your true self to work</a>.&nbsp;

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