Machine Learning Engineer

hace 6 días

Zaragoza, Zaragoza, 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 traffic management systems and data analytics platforms. Our mission is to make mobility safer, more sustainable, and efficient for everyone.

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 ML services to power our data products, enabling data-driven decisions to improve traffic safety and prediction accuracy.

Key Responsibilities

  • Design and develop ML 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.
  • Analyze large datasets to develop algorithms capable of learning and 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, automating what is not.
  • Contribute to software development in close collaboration with the team.

Requirements

  • Bachelor's Degree in Computer Science or related field (we will also consider equivalent practical experience).
  • Experience in product development of ML-related products and solutions.
  • Solid understanding of ML algorithms, proficient in math and statistics.
  • Proficient experience with programming languages and data tools.
  • Hands-on experience with Python, NumPy, Pandas, Matplotlib, scikit-learn, model/code-testing.
  • 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.
  • Knowledge of time series and geo-data.
  • Experience with Tensorflow, Keras, R, Jupyter.
  • Knowledge of data version control and ML-metadata.
  • Practical knowledge of CI/CD tools.

Preferred Qualifications

  • Java, Spark, Flink, Cloud.

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