AI Engineer Trainee (m/f/d)

Siemens Mobility

Amadora

Presencial

EUR 8000 - 11 000

Tempo integral

Há 12 dias

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Vantagens oferecidas por esta oferta de emprego

12-month paid internship
Hybrid work
Health insurance
Online learning & mentoring
Shuttle service

Resumo da oferta

Siemens Global Business Services (GBS) in Portugal invites motivated STEM students for a 12-month paid internship in AI and data science. You will join our AI and data science projects, collaborating with expert teams to apply exploratory data analysis, visualization, ML modelling, evaluation and deployment.

A strong Python and SQL foundation, coursework in statistics or mathematics, and excellent English are required.

Qualificações

  • Higher education in a STEM field with statistics or mathematics components.
  • Academic experience with at least one programming language (Python preferred).
  • Academic or project experience in data science and Python data frameworks.
  • Very high command of English, written and spoken.

Responsabilidades

  • Collaborate on AI and data science projects running at Siemens.
  • Support exploratory data analysis, visualization, ML modelling, evaluation and deployment.
  • Work with teams to learn and apply best practices in data science workflows.

Conhecimentos

Python
SQL
Pandas
PyTorch
scikit-learn
English Proficiency

Formação académica

STEM degree
Statistics/Math focus
Computer Engineering preferred

Ferramentas

Python
SQL
Jupyter

Descrição da oferta de emprego

Siemens Global Business Services (GBS) enables Siemens units worldwide and external customers to accelerate their business transformation into a sustainable and digital future.

Our portfolio comprises services driven by expertise and the latest technology – with a strong focus on innovation and digitalization in areas like Finances, Business Administration, Human Resources, Procurement, Sales and After-Sales.

In our GBS Western Europe and Africa Hub we are already more than 1500 connected people, from over 50 different nationalities spread across 14 countries. If you value diversity and innovation, you’ll feel right at home here!

Discover our purpose, culture, and what makes GBS unique!

Check out here !

GBS Digital Solutions (DS) co-create state-of-the-art solutions to boost digital business value with innovative technology and a powerful partner ecosystem. Our digital service portfolio covers: Digital Advisory Services, Business Process Management, Integration Layer, GenAI and Agentic AI, Advanced Analytics, Robotic Process Automation and Tech Operations.

Are you ready to be part of the change? Come join us!
Your mission will be…
  • Collaborate in one of the many AI and data science projects running at Siemens.
  • Support and learn from our teams in running tasks like exploratory data analysis, visualization, ML modelling, evaluation and deployment.
We are looking for someone with…
  • Higher education in a STEM related field (at least 2 complete years) with major statistics or mathematics components. Computer Engineering highly preferred.
  • Academic experience and proficiency with at least one programming language is mandatory, Python and SQL highly preferred.
  • Academic experience or hobby projects employing Python and data science frameworks (e.g. scikit, pytorch, pandas, opencv, others) is highly preferred.
  • Academic experience in data science is highly preferred.
  • Very high command of English, written and spoken.
What We Offer
  • 12-Month Paid Internship: Kick-start your career with hands‑on experience in a global tech leader.
  • Flexible & Hybrid Work: Balance your studies and personal life with a modern, flexible schedule.
  • Health & Well‑being: Comprehensive health insurance and active sports groups to keep you feeling your best.
  • Grow Every Day: Access online learning platforms, mentoring, and training programs to boost your skills.
  • Community & Perks: Join volunteer initiatives, enjoy partner discounts, and make the most of our convenient shuttle service.

#Siemens

Siemens is deeply committed to fostering a diverse and inclusive environment. We are proud to be an equal opportunity employer and strongly encourage applications from a wide array of talented individuals!

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