Machine Learning Engineer

hace 6 días


Zaragoza, Zaragoza, España Kapsch Trafficcom Transportation Sa. A tiempo completo

About Kapsch TrafficCom Transportation Sa.

Kapsch TrafficCom Transportation Sa. is a leading provider of smart solutions for the transportation industry. We design, build, and operate traffic management systems, including connected vehicles technology and mobility demand management, as well as tolling services for cities, roads, tunnels, and bridges around the world.

Job Summary

We are seeking a highly skilled Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will design and build software services to power our data products, enabling data-driven decisions to improve traffic safety and prediction accuracy.

Key Responsibilities

  • Design and develop software services to power our data products, enabling data-driven decisions to improve traffic safety and prediction accuracy.
  • Develop, train, and test ML models to perform information retrieval and forecast analysis for mobility and traffic data domain.
  • Use large data-sets to develop algorithms capable of learning and eventually making predictions.
  • Analyze use cases of ML algorithms, ranking by success probability and applying the outcome to support business decisions.
  • Enrich existing ML frameworks and libraries.
  • Productize training models and package them into independent software services.
  • Continuously improve deployed models by applying state-of-the-art techniques as well as code and data set quality; automate what is not.
  • Contribute to software development in close collaboration with the team.

Requirements

  • Bachelor/Master Degree in Software Engineering or equivalent practical experience.
  • Work experience in product development of ML related software solutions.
  • Solid understanding of ML algorithms, proficient in math and statistics.
  • Proficient experience with programming languages and data tools.
  • Hands-on with Python, Java, Gitlab/Github, Cloud Computing.
  • Experience in building up machine learning train and release pipelines.
  • Analytical mindset and solution-driven personality.
  • Practice and live the agile mindset.
  • Good oral and written English.
  • Desirable: knowledge of time series, geo-data, data version control. Experience with Tensorflow, Airflow, Streamlit, Jupyter. Practical knowledge of CI/CD tools.

About You

We are looking for a highly skilled Machine Learning Engineer who is passionate about developing innovative solutions for the transportation industry. If you have a solid understanding of ML algorithms and experience with programming languages and data tools, we encourage you to apply.



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