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Fox IT
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Data Scientist / Machine Learning Engineer (Lisboa/Porto)

Fox IT · Lisboa, P11, PT

Actively hiring Posted 5 months ago

FOX IT is a Portuguese IT Consulting Company established in 2018 with a mission to make a positive impact in the IT industry. The company values its consultants as their greatest assets and focuses on providing tailored solutions that meet clients' needs. Committed to fairness and collaboration, FOX IT aims to create long-lasting partnerships that benefit all stakeholders. The company's mission is to bring innovation and integrity to the IT industry, forging relationships where everyone thrives.

Mission:

  • Work closely with data scientists teams to deploy GenAI and Analytics models into production. These models run in a databricks environment and the team operates under DevOps. We are also expanding with an AzureML environment for our GenAI use cases.

  • Participate for lifecycle development and ensure sustainable solutions

Requirements:

  • +3 years of work experience as a technical data specialist (ML engineer, data engineer or data scientist)

  • Team player and dare to challenge the status quo

  • Good mindset, entrepreneurial, analytical and pragmatic attitude

  • Driven, accurate, problem-solving, analytical, and have strong communication skills

  • Experience with Agile/Scrum is a plus.

  • Fluent in English (written and spoken)

Technical Skills:

o Extensive experience with Azure, databricks, and Python/PySpark knowledge is therefore essential

o Experience with Git and building CI/CD pipelines, preferably in Azure DevOps/Azure Pipelines

o Experience with Python (e.g., scikit-learn, scipy, xgboost, pandas, numpy, mlflow)

o Experience with SQL or PySpark, preferably in Databricks

o Experience with Azure Machine Learning

o Experience with Building data pipelines using Airflow or Databricks Pipelines

Location: Lisboa, Porto, Portugal

What we offer:

  • 26 days of vacation

  • 50€ birthday bonus

  • health insurance

  • Training

  • Opportunity to develop your career

Take the Leap, Join Us!

Tipo de oferta: Período Integral

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Fulltime Machine Learning Data Science Data Engineer Ai
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