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Java-Jobs in Deutschland

Senior Machine Learning Engineer

FREE NOW

Hamburg
Vor Ort
EUR 65.000 - 100.000
Vor 30+ Tagen
Ich möchte über neue Stellenangebote mit dem Stichwort „Java“ benachrichtigt werden.

Senior Machine Learning Engineer

FREE NOW

Berlin
Vor Ort
EUR 70.000 - 100.000
Vor 30+ Tagen

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Universitätsmedizin Essen

Essen
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DevOps Engineer- ID Management (m/w/d)

Bundesdruckerei Gruppe GmbH

Berlin
Vor Ort
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Aachen
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Vertraulich
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Softwareentwickler JavaEE (w|m|d) bei LISt Gesellschaft für Verkehrswesen und ingenieurtechnisc[...]

LISt Gesellschaft für Verkehrswesen und ingenieurtechnische Dienstleistungen mbH

Hainichen
Hybrid
EUR 45.000 - 60.000
Vor 30+ Tagen
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FullStack Entwickler (m / w / d)

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Vor Ort
EUR 50.000 - 70.000
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EUR 55.000 - 75.000
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Java Developer-JobsJava Software Developer-Jobs
Senior Machine Learning Engineer
FREE NOW
Hamburg
Vor Ort
EUR 65.000 - 100.000
Vollzeit
Vor 30+ Tagen

Zusammenfassung

Join FREE NOW as a Senior Machine Learning Engineer, where you'll design and optimize data-driven systems to enhance pricing in a dynamic mobility landscape. Collaborate with diverse teams to improve our data science infrastructure and tackle complex business challenges. We're looking for passionate individuals ready to make an impact in urban transportation.

Leistungen

Flexible working arrangements
LinkedIn Learning
Sabbatical & special leave policies
WeRoad partnership
Birthday and extra holidays
Short term EU work policy
Mobility Credit
Health Insurance
Employee assistance program

Qualifikationen

  • Experience training, deploying, serving, and monitoring ML models in production.
  • Able to collaborate with diverse teams in data, tech, and product.
  • Passionate about data science and urban transportation.

Aufgaben

  • Design and develop high-performance, data-driven systems for pricing.
  • Work with large data sets including historical and real-time data.
  • Expose ML models and data pipelines via resilient APIs.

Kenntnisse

Statistical/Machine Learning models
Data manipulation
Effective communication
Team player
Streaming technologies
English communication

Tools

Python
SQL
AWS
Kubernetes
Kafka Streams
Airflow
Jobbeschreibung

Location : We are flexible! Come and join us either in Hamburg, Berlin, Barcelona or Athens

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 Senior Machine Learning Engineer (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:
  • 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.
  • Working with large, interesting data sets including historical, real-time and third-party data streams.
  • Exposing machine learning models and data pipelines via resilient and performant APIs.
  • 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.
  • Enhancing the Data Science Software infrastructure in close collaboration with a diverse group of Data experts.
  • Maintaining, improving and monitoring mature CI/CD pipelines in our testing and production environments.
  • Championing best practices across the organization and fostering an environment of growth and technical excellence

Our Tech Stack: SQL| Python | Airflow | Java | Kubernetes | Kafka Streams| AWS & more

TO BE SUCCESSFUL IN THIS ROLE:
  • You are experienced training, deploying, serving and monitoring Statistical/Machine Learning models on large-scale datasets in production.
  • You have experience with streaming technologies and real-time data processing
  • 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.
  • Experience with data manipulation and machine learning libraries
  • You have experience developing and maintaining microservices in a production environment
  • 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.
  • You are passionate about harnessing data science and have the will to play an essential role in the future of urban transportation.
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!

DIVERSITY, EQUITY & 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, bring your true self to work .

SEE WHAT OUR AWESOME COLLEAGUES SAY ABOUT US:
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* Der Gehaltsbenchmark wird auf Basis der Zielgehälter bei führenden Unternehmen in der jeweiligen Branche ermittelt und dient Premium-Nutzer:innen als Richtlinie zur Bewertung offener Positionen und als Orientierungshilfe bei Gehaltsverhandlungen. Der Gehaltsbenchmark wird nicht direkt vom Unternehmen angegeben. Er kann deutlich über bzw. unter diesem Wert liegen.

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