Data Scientist / Machine Learning Engineer

Pertemps ERP (part of Network EMEA)

Lisboa

Híbrido

EUR 46 125 - 55 350

Tempo integral

14 dias+

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Resumo da oferta

A leading consulting firm is seeking a Data Scientist / Machine Learning Engineer to work on a hybrid basis in Lisbon or Porto. The role involves deploying GenAI and analytics models into production within Databricks while working closely with data science teams. Candidates should have over 3 years of relevant experience and possess strong technical skills in Azure, Databricks, Python, and related technologies. This freelance contract position offers a daily rate between EUR250-300.

Qualificações

  • 3+ years’ experience as a technical data specialist (ML engineer, data engineer, or data scientist).
  • Solid experience with Azure, Databricks, and CI/CD pipelines.

Responsabilidades

  • Contribute to the full development lifecycle.
  • Work closely with data science teams to deploy models into production.
  • Ensure sustainable, high-quality solutions.

Conhecimentos

Team player mindset
Analytical thinking
Pragmatic mindset

Ferramentas

Azure
Databricks
Python/PySpark
Git
CI/CD pipelines
Airflow
SQL

Descrição da oferta de emprego

Data Scientist / Machine Learning Engineer

Location: Hybrid – 60/40% remote + Lisbon OR Porto

Daily rate: EUR250-300.00

Language skills: Fluent English & Portuguese essential

Direct message the job poster from Pertemps ERP (part of Network EMEA).

Our client is a multinational industry‑leader with an urgent and exciting requirement for a Data Scientist / Machine Learning Engineer to join on a freelance basis.

Overview

The role involves working closely with data science teams to deploy GenAI and analytics models into production within a Databricks environment, operating under DevOps, and expanding into AzureML for GenAI use cases. Responsibilities include contributing to the full development lifecycle and ensuring sustainable, high‑quality solutions.

Responsibilities
  • Contribute to the full development lifecycle.
  • Work closely with data science teams to deploy GenAI and analytics models into production within Databricks, operating under DevOps.
  • Expand capabilities into AzureML for GenAI use cases.
  • Ensure sustainable, high‑quality solutions.
Qualifications
  • 3+ years’ experience as a technical data specialist (ML engineer, data engineer, or data scientist).
  • Strong team player with an entrepreneurial, analytical, and pragmatic mindset.
Technical Skills
  • Solid experience with Azure, Databricks, Python/PySpark, Git, and CI/CD pipelines (ideally in Azure DevOps).
  • Knowledge of Python libraries such as scikit-learn, pandas, and MLflow.
  • SQL or PySpark proficiency.
  • Azure Machine Learning.
  • Building data pipelines using Airflow or Databricks Pipelines.
  • Agile/Scrum experience is a plus.
Seniority Level

Associate

Employment Type

Contract

Job Function

Information Technology

Industries

IT Services and IT Consulting, IT System Data Services, Data Infrastructure and Analytics

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