E.ON Digital Technology GmbH | Fixed Term | Part time
You have a passion for technology and want to make the world a greener place?
Then become a changemaker (f/m/d) and join our team as Working Student - Machine Learning Engineer (f/m/d) at E.ON Digital Technology (EDT).
E.ON Digital Technology plays a key role in shaping the energy transition by leading E.ON’s digital transformation across Europe. We explore new paths through developing ideas, breaking new ground, making visions reality, and bringing new technologies to life. In flexible working models and teams, we deliver sustainable technology solutions to meet the energy challenges of tomorrow.
meaningful & challenging - Your tasks
- Machine Learning Development: Design and implement advanced machine learning algorithms and models, focusing on scalability and efficiency within the Databricks environment
- Data Science Integration: Apply data science techniques to analyze large datasets, extract insights, and inform the development of machine learning models
- Databricks Environment Management: Set up, configure, and manage the Databricks environment to optimize for machine learning and data science workflows
- Model Training and Evaluation: Train, tune, and evaluate machine learning models rigorously to ensure accuracy and effectiveness
- Data Engineering Collaboration: Work closely with data engineers to ensure data quality, availability, and integrity within the Databricks platform
authentic & ambitious - Your profile
- Machine Learning Expertise: Strong experience in developing and implementing machine learning algorithms and models, with focus on NLP
- Data Science Skills: Proficiency in data science methodologies, including data analysis, visualization, and statistical modeling
- Databricks and Cloud Platforms Proficiency: knowledge of Databricks MLOps setup and familiarity with Azure cloud platform
- Programming Languages: Proficiency in programming languages commonly used in data science and machine learning, such as Python, Scala, or R
- Analytical and Problem-Solving Skills: Strong analytical skills with the ability to tackle complex problems in machine learning and data science
- Teamwork and Collaboration: Commitment to working collaboratively within diverse teams, contributing positively to project outcomes
- Eagerness for Continuous Learning: Interest in staying current with emerging trends and technologies in full-stack development
- Educational Background: Advanced degree in Computer Science, Data Science, Statistics, or a related field, with a strong focus on machine learning and data science
smart & useful - Our benefits
- We give you flexibility: Thanks to our flexible working hours, you can easily balance your university life and your job.
- We value your contribution: We support your financial independence with a competitive salary.
- Recharge your batteries: With us, you have 30 days of vacation per year (Christmas and New Year's Eve are always paid days off).
- Your further development: We are growing - and want you to grow with us. We offer you interesting and varied tasks as well as many options for a future job after graduation.
- And that's not all: We are happy to discuss all other benefits with you in the recruiting process
Do you have questions?
For further information please contact Lena Grobe, lena .grobe... [Vollständig anzeigen] @... [Vollständig anzeigen] .
Please understand that for data protection reasons we can only accept applications submitted via our portal. Unfortunately, we cannot consider application documents that reach us by email or post.
What you need to know:
Job Req ID: 225668
Contract type: Fixed Term
Working time: Part time
Company: E.ON Digital Technology GmbH
Location: Essen, Berlin, Frankfurt am Main, Hannover, Köln, München, Würzburg
Function area: IT/Digital; IT Strategy & Architecture