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Machine Learning Engineer

hace 2 meses


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

About Kapsch Trafficcom Transportation Sa.

Kapsch Trafficcom Transportation Sa. is a leading provider of intelligent transportation systems (ITS) solutions. With a rich history spanning over 130 years, the company has established itself as a trusted partner for governments and private organizations seeking to improve traffic safety and efficiency.

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 data products, utilizing machine learning algorithms to analyze and predict traffic patterns.
  • Develop, train, and test machine learning models to perform information retrieval and forecast analysis for mobility and traffic data domains.
  • Analyze use cases of machine learning algorithms, ranking by success probability and applying the outcome to support business decisions.
  • Enrich existing machine learning frameworks and libraries, productizing training models and packaging them into independent software services.
  • Continuously improve deployed models by applying state-of-the-art techniques, as well as code and data set quality, automating where possible.

Requirements

  • Bachelor's or Master's degree in Software Engineering or equivalent practical experience.
  • Work experience in product development of machine learning-related software solutions.
  • Solid understanding of machine learning algorithms, proficient in math and statistics.
  • Proficient experience with programming languages and data tools, including Python, Java, Gitlab/Github, and Cloud Computing.
  • Hands-on experience with machine learning frameworks, such as TensorFlow, and data visualization tools, such as Streamlit.
  • Experience in building up machine learning train and release pipelines.
  • Analytical mindset and solution-driven personality.
  • Good oral and written English communication skills.

Desirable Skills

  • Knowledge of time series, geo-data, and data version control.
  • Experience with CI/CD tools and agile development methodologies.