Logo of Huzzle

Internship/Master's Thesis (m/f/d) in Big Data Analytics for the Process Industry

image

ABB

Today

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    Research & Development
  • Mannheim

AI generated summary

  • You must study Technical Sciences, be fluent in German and English, skilled in Python and GIT, and have experience with deep NLP models, LLMs, and data libraries. Team-oriented and solution-focused.
  • You will enhance industrial processes using AI, focusing on Retrieval Augmented Generation with Language Models, conducting experiments, optimizing processes, and analyzing industrial data.

Requirements

  • Currently studying Technical Sciences, especially Computer Science or related field
  • Fluent in written and spoken German and English
  • Strong proficiency in Python and GIT and skilled in Jupyter Notebooks and IDEs (PyCharm, Visual Studio Code)
  • Experience with deep NLP models, especially RNNs or Transformer architectures in Keras/TensorFlow or PyTorch
  • Familiarity with Pandas, Numpy, and plotting libraries and experience with ipywidgets or Dash is a plus
  • Team player with a solution-oriented mindset
  • Good programming knowledge and experience with Large Language Models (LLMs)

Responsibilities

  • Looking for a taste of working life in an international, future-focused corporate group? Then join us as an intern (m/f/d) and familiarise yourself with a suitable department for 3 to 6 months. You will be involved in large-scale projects and perform a defined set of duties independently. Use your internship to build a network and become familiar with our company.
  • Our team works on enhancing industrial processes with additional insights based on the application of artificial intelligence to process data. Your work focuses on the application Large Language Models in Retrieval Augmented Generation setups. Especially the integration of process data and reasoning of LLMs will be of interest. You will be involved in the setup of experiments, requirement alignment and consideration of scalability.
  • Develop of Retrieval Augmented Generation using Large and Small Language Models
  • Evaluations considering retraining and other optimization possibilities
  • Work on industrial data and get insights into the automation and process industry

FAQs

What is the duration of the internship?

The internship lasts between 3 to 6 months.

What department will I be working in during the internship?

You will be working in the R&D department, specifically focusing on Big Data Analytics for the process industry.

What are the key responsibilities of this internship?

You will be involved in developing Retrieval Augmented Generation using Large and Small Language Models, evaluating retraining and optimization possibilities, and working with industrial data to gain insights into the automation and process industry.

What qualifications are required for this position?

Candidates should be currently studying Technical Sciences, especially Computer Science or a related field, and should have strong proficiency in Python and GIT.

Is fluency in languages necessary for this role?

Yes, fluency in both written and spoken German and English is required.

What programming skills should I have for this internship?

Strong programming knowledge and experience with Large Language Models (LLMs) are required, as well as familiarity with deep NLP models, especially RNNs or Transformer architectures in Keras/TensorFlow or PyTorch.

Will I be compensated for this internship?

Yes, interns will receive appropriate remuneration for the duration of the internship.

What documents do I need to apply for this position?

You need to submit a cover letter, CV, certificate of enrolment, current transcript of grades, and other supporting documents.

Is there an opportunity to network during the internship?

Yes, the internship will provide opportunities to build a network and become familiar with the company.

Can I apply for this internship if it is mandatory for my studies?

Yes, you can apply for either a voluntary or mandatory internship, but please specify which one in your application and include relevant documents from your university’s internship guidelines.

We energize the transformation of society and industry to achieve a more productive, sustainable future

Manufacturing & Electronics
Industry
10,001+
Employees
1988
Founded Year

Mission & Purpose

ABB is a technology leader in electrification and automation, enabling a more sustainable and resource-efficient future. The company’s solutions connect engineering know-how and software to optimize how things are manufactured, moved, powered and operated. Building on more than 130 years of excellence, ABB’s ~105,000 employees are committed to driving innovations that accelerate industrial transformation.

Culture & Values

  • Courage

    ​​​​​​​Take action and manage consequences. Speak up and ask for help. Take calculated risks to create success

  • Care

    Take care of our customers, our people and the environment. Respect and value differences. Do what is right and act with integrity

  • Curiosity

    Believe there is always a better way. Lead with technologies and innovations. Learn from failures and successes

  • Collaboration

    Believe smart people collaborate Build on each other’s strengths and success Partner with our customers