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ML Engineer

Porto

Job description

We are looking for a ML Engineer  to work closely with the ML Architect to develop on ML frameworks (TensorFlow, Scikit-Learn, Pytorch), Experimentation platform and tools.

This role has the responsabilities to:

  • Develop large-scale distributed machine learning systems that are scalable, performant, efficient, and reliable
  • Collaborating with cross-functional teams to help deploy/integrate machine learning models.
  • Liaise with the BUs for their ML needs and work on the cross-BU ML portfolio.
  • Optimize feature extraction, transformation and selection.
  • Work with and manage.
  • Feature Stores for reusability across ML pipelines.
  • Ensure scalability, reliability, cost efficiency, and ease of use of the machine learning platform
  • Contribute to evaluating and adopting new technologies and tools to enhance our machine-learning capabilities


Requirements

  • 5+ years of experience as a Machine Learning Engineer.
  • Strong experience with supervised and unsupervised learning, survival analysis, time series modeling, and statistical forecasting.
  • Skilled in building predictive models (e.g. churn, user journey, sales forecasting) using behavioral data.
  • Proficient with ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
  • Experienced in model training, versioning, and monitoring.
  • Solid background in MLOps practices: CI/CD, Docker, Kubernetes, Airflow, SageMaker, MLflow, model observability tools, and feature stores.

 



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