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Machine Learning Engineer (M/F)

Explore Group

08.02.2026 | | Referência: 2382188


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Empresa:

Explore Group


Descrição da Função

Machine Learning Engineer

About the Role

We are looking for a Machine Learning Engineer to support the ongoing development and production integration of machine learning algorithms. You will work within a multidisciplinary team of software engineers and data scientists to introduce the latest research in digital bioprocessing into software deployed at leading pharmaceutical companies worldwide. Key responsibilities include:

  • Implementing, deploying, and maintaining data transformation and model training pipelines in AutoML software
  • Improving internally maintained packages, SDKs, and services used by internal and external users
  • Taking ownership of the full deployment lifecycle, from ideation and research to implementation and stakeholder approval
  • Assisting in the research and development of novel machine learning models and algorithms for multivariate time series prediction


Requirements

  • M.Sc. in Computer Science, Data Science, or a related field
  • Strong understanding of machine learning concepts, particularly the combination of time series forecasting and differentiable systems
  • Proficiency in programming languages such as Python or Julia
  • Strong experience with machine learning libraries and frameworks such as PyTorch, scikit-learn, or JAX
  • Experience with backend engineering, ideally using Go or Rust
  • Excellent problem solving skills and strong attention to detail
  • Strong written and verbal communication skills


We Offer

  • Hybrid working environment with the ability to work remote in Italy or Portugal
  • Ability to visit international offices, join customer visits, and attend international conferences
  • Opportunity to spend 10% of your work hours on a work relevant personal research project
  • Sharp learning and responsibility curve in a challenging and interdisciplinary environment
  • Attractive working conditions and clear career progression


Observações

Not Specified (Portugal)





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