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Working Student (f/m/d) - Data Scientist / Machine Learning Engineer (GenAI)

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    IT & Cybersecurity
  • Berlin

Requirements

  • Current studies in Computer Science, Data Science, Statistics, Engineering, or related fields with a strong focus on Data Analytics and Machine Learning
  • Proficiency in programming (preferably Python and SQL) for data analysis, model development, and deployment
  • Excellent communication skills in English, with the ability to collaborate with stakeholders across various functions and locations worldwide
  • Experience building Data Analytics Web Apps using python frameworks like Streamlit, Django, or Flask to share ML prototypes with internal customers
  • Hands-on experience with supervised and unsupervised ML techniques such as Regression, Classification, Clustering, and more. Preferably also with Generative AI use cases, including working with Large Language Models (LLMs), Embedding Models, and RAG systems
  • First experience with DevOps/MLOps principles and tools for operationalizing machine learning models, including Git, Docker, and AWS

Responsibilities

  • Collaborate with the team and IT along the entire lifecycle of Machine Learning (ML) projects, from ideation and experimentation to deployment using Amazon Web Services (AWS)
  • Support the team in identifying opportunities for ML (mainly GenAI techniques) to solve business problems in the context of the supply chain
  • Support the team in exploring and implementing LLM apps (like RAG systems, agentic workflows, etc.)
  • Use Python, SQL, and appropriate AWS services to build data pipelines to process data from multiple sources
  • Develop app prototypes utilizing Python web frameworks like Streamlit and FastAPI

FAQs

What is the working hours for this position?

The working hours are flexible and part-time, typically starting around 8-9 am.

Will I be required to work in the office?

Yes, the position allows for both office work and remote work in a hybrid format.

What qualifications do I need to apply?

You should be currently studying in fields such as Computer Science, Data Science, Statistics, Engineering, or related disciplines with a focus on Data Analytics and Machine Learning.

What programming languages should I be proficient in?

Proficiency in Python and SQL is preferable for data analysis, model development, and deployment.

What are the key responsibilities of this role?

Key responsibilities include collaborating on ML projects, building data pipelines, developing app prototypes, and utilizing GenAI techniques for business solutions.

What tools and frameworks will I be using?

You will use state-of-the-art frameworks and platforms such as Streamlit, Azure OpenAI Services, Snowflake, PostgreSQL, and Amazon Web Services (AWS).

Is experience with ML techniques required?

Yes, hands-on experience with supervised and unsupervised ML techniques, as well as Generative AI use cases, is expected.

Will I be working independently or as part of a team?

You will be working as part of a team consisting of Data Scientists, Data Engineers, and Cloud Engineers, collaborating throughout the project lifecycle.

Are there opportunities for career development in this role?

Yes, this position provides exciting insights into an international company and lays the foundation for a career in the field.

Does Siemens Energy value diversity?

Yes, Siemens Energy celebrates diversity and is committed to inclusion, welcoming applications from individuals of different backgrounds and abilities.

We are 91,000 employees determined to be part of the world’s most valued energy technology company. We are #TeamPurple.

Energy
Industry
10,001+
Employees
2020
Founded Year

Mission & Purpose

Siemens Energy is one of the world’s leading energy technology companies. The company works with its customers and partners on energy systems for the future, thus supporting the transition to a more sustainable world. With its portfolio of products, solutions and services, Siemens Energy covers almost the entire energy value chain – from power generation and transmission to storage. The portfolio includes conventional and renewable energy technology, such as gas and steam turbines, hybrid power plants operated with hydrogen, and power generators and transformers. A majority stake in the wind power subsidiary Siemens Gamesa Renewable Energy (SGRE) makes Siemens Energy a global market leader for renewable energies. An estimated one-sixth of the electricity generated worldwide is based on technologies from Siemens Energy. Siemens Energy employs 94,000 people worldwide in more than 90 countries and generated revenue of around €29 billion in fiscal year 2022. Siemens Energy is a trademark licensed by Siemens AG

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