Siemens Careers

Digitalization Engineer (Machine Learning / AI)

Tres Cantos, Spain
Product Management, Portfolio & Innovation

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English (UK)

Job Description

We are looking for a junior engineer with deep knowledge on machine learning to help us extract value from our data. You will lead all the processes from data collection, cleaning and preprocessing, to training models and deploying them to automation production.

The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field. An innovative and dynamic person, technological savvy, who wants to become part of a high-performance team. Committed to the results and with a clear customer orientation.

Responsibilities

  • Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
  • Participate in co-creation projects with customers, playing the role of AI specialist and designing technological proposals to fulfill customer needs
  • Promotional activities to show new product portfolio and solutions (mainly AI)
  • Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
  • Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
  • Verifying data quality, and/or ensuring it via data cleaning
  • Supervising the data acquisition process if more data is needed
  • Defining Validation Strategie
  • Defining the preprocessing or feature engineering to be done on a given dataset
  • Defining data Augmentation Pipelines
  • Training models and tuning their hyperparameters
  • Analyzing the errors of the model and designing strategies to overcome them
  • Deploying models to production
  • Collaborate with the rest of the business unit to elaborate the best solutions and proposals for our customers

Skills

  • Experience with a deep learning framework such as TensorFlow, Cafe or Keras
  • Proficiency with Python and libraries for machine learning such as scikit-learn and pandas
  • Expertise in visualizing and manipulating big datasets
  • Good knowledge in OpenCV
  • Familiarity with Linux
  • Commmunication skills will be appreciated
  • Professional in English (at least B2)
  • University master’s Degree in Computer Science, Telecommunication, Industrial Engineering or Mathematics

La Diversidad en Siemens es nuestra fuente de creatividad e innovación. Contar con diferentes tipos de talento y de experiencias nos hace ser más competitivos y estar mejor preparados para responder con éxito a las demandas de la Sociedad. Por ello, valoramos a las candidatas y a los candidatos que reflejen la Diversidad que disfrutamos en nuestra Compañía.

#LI-DL

Job ID: 99715

Organisation: Digital Factory

Experience Level: Early Professional

Job Type: Full-time





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