Senior Machine Learning

hace 4 semanas

Madrid, España Kapsch Trafficcom Transportation SA. A tiempo completo
Senior Machine Learning & Deep Learning Engineer
Madrid Full time

Kapsch is one of Austria's most successful global technology companies. With its comprehensive ITS (Intelligent Transportation Systems) portfolio, Kapsch is actively addressing the challenges of the present and the future with intelligent mobility solutions in a wide range of application areas. As a family-owned company founded in 1892 and headquartered in Vienna, Kapsch can look back on 130 years of experience with the future.

We are looking for a Senior Machine Learning Engineer to lead data-related initiatives and be a technical referent for the team. If you have a proficient background in information technology with a specific focus on ML and DL related to Data Science/Engineering, apply for the role and grow with us

Your Responsibilities

  • You design and build ML services to power our data products enabling data-driven decisions to improve traffic safety and prediction accuracy.
  • You develop, train, and test ML models to perform information retrieval and forecast analysis for the mobility and traffic data domain.
  • Using large data-sets to develop algorithms capable of learning and eventually making predictions.
  • Analyzing use cases of ML algorithms, ranking by success probability, and applying the outcome to support business decisions.
  • Enriching existing ML frameworks and libraries.
  • You productize training models and package them into independent software services.
  • You continuously improve deployed models by applying state-of-the-art techniques as well as code and data set quality; you are automating what is not.
  • Contribution to software development in close collaboration with the team.

Your Profile

  • Bachelor Degree / Master Degree / PhD in Computer Science, Maths, Physics, or related.
  • At least 7 years of experience in a data-related field with a special focus on productizing AI solutions.
  • Solid knowledge of Machine Learning and Deep Learning, with experience in building machine learning train and release pipelines.
  • Experience with probabilistic models and classification models.
  • Hands-on experience with tools like TensorFlow, Keras, XGBoost, Scikit-learn, PyTorch, AutoML.
  • Solid experience with Python.
  • Knowledge of SCRUM/SAFe methodology.
  • Experience with cloud technologies.
  • Analytical mindset and solution-driven personality.
  • You practice and live the agile mindset.
  • Good oral and written English.

Our Offer:

  • A market compliant gross salary in line with your qualifications and job experience.
  • Permanent role.
  • Hybrid working model (3 days of remote work/week).
  • 30 business days of annual leave.

Flexible remuneration plan: transport card, restaurant card, private medical care, etc.

Challenging the limits of mobility for a healthy world without congestion.

A hands-on onboarding with an experienced team in an international working environment.

Ongoing professional education and training measures.

#J-18808-Ljbffr

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