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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.

We are a leading provider of smart solutions for mobility, developing innovative technologies to make transportation safer, more sustainable, and efficient. Our expertise spans traffic management systems, connected vehicles, and data analytics platforms.

Job Summary

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

Responsibilities

  • Design and develop machine learning services to power our data products, leveraging large datasets to develop algorithms capable of learning and making predictions.
  • 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, code, and data set quality, automating what is not.
  • Contribute to software development in close collaboration with the team.

Requirements

  • Bachelor's degree in Computer Science or related field (equivalent practical experience considered).
  • Experience in product development of machine learning-related products and solutions.
  • Solid understanding of machine learning algorithms, proficient in math and statistics.
  • Proficient experience with programming languages and data tools, including Python, NumPy, Pandas, Matplotlib, scikit-learn, and model/code testing.
  • Hands-on experience with building machine learning train and release pipelines.
  • Analytical mindset and solution-driven personality.
  • Practice and live the agile mindset.
  • Good oral and written English.
  • Knowledge of time series and geo-data.
  • Experience with TensorFlow, Keras, R, Jupyter, data version control, and ML-metadata.
  • Practical knowledge of CI/CD tools.

What We Offer

  • Permanent role.
  • Hybrid working model (3 days of remote work/week).