Data Scientist

3 semanas atrás

Lisboa, Lisboa, Portugal emagine Tempo inteiro

At
Emagine Portugal
, we are not just another tech consultancy — we are part of a multinational group with a strong presence across
Europe and Asia
, delivering high-impact solutions to some of the most innovative technology projects out there.

Our goal? To be the
most dynamic, energetic, and reliable
player in the market. And for that, we need
you
.

We are looking for a
mid-level technical data professional
to join an international team working on
GenAI and advanced analytics solutions
, deploying models into production within a
Databricks and Azure ecosystem
.

In this role, you will work closely with
data science teams
to operationalize machine learning and GenAI use cases, contributing across the full development lifecycle while following
DevOps best practices
. The position offers exposure to
Azure ML
and modern data platforms, with a strong focus on scalable, high-quality, and sustainable solutions.

Key Responsibilities:

  • Deploy
    GenAI and analytics models
    into production within a
    Databricks environment
    .
  • Collaborate with data scientists to translate models into
    production-ready solutions
    .
  • Contribute across the
    full development lifecycle
    , from development to deployment and monitoring.
  • Work under
    DevOps principles
    , supporting CI/CD pipelines and automated deployments.
  • Build and maintain
    data pipelines
    using Databricks Pipelines or Airflow.
  • Expand solutions into
    Azure Machine Learning
    for GenAI use cases.
  • Ensure high standards of
    code quality, performance, and scalability
    .

Requirements:

  • 3+ years of experience
    as a
    Data Engineer, ML Engineer, or Data Scientist
    in a technical role.
  • Experience working in
    production environments
    with data or ML solutions.

Technical Skills

  • Strong experience with
    Microsoft Azure
    .
  • Hands-on experience with
    Databricks
    .
  • Solid programming skills in
    Python / PySpark
    .
  • Experience with
    Git
    and
    CI/CD pipelines
    (ideally Azure DevOps).
  • Experience with
    SQL and/or PySpark
    .
  • Knowledge of
    Python libraries
    such as scikit-learn, pandas, mlflow.
  • Experience with
    Azure Machine Learning
    .
  • Experience building
    data pipelines
    using Airflow or Databricks Pipelines.

Other

  • Experience working in
    Agile / Scrum
    environments.
  • Strong team player with an
    entrepreneurial, analytical, and pragmatic mindset
    .
  • Fluent in
    English
    .

What We Offer:

  • Work on
    GenAI and advanced analytics
    use cases in production.
  • Exposure to
    modern Azure and Databricks architectures
    .
  • International, collaborative, and innovation-driven environment.
  • Hybrid work model (2 days per week in the office)
    .

Interested? Let's talk

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