Deadline:
As soon as possible
Companies
Location(s)
Germany
Munich
Overview
We, the BMW Group, offer you an interesting and varied internship in the area of Data Science.
Details
SOME IT WORKS. SOME CHANGES WHAT'S POSSIBLE.
SHARE YOUR PASSION.
More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly novel solutions. That’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity to really show what you can do.
What awaits you?
- Research on state-of-the-art methods in literature on machine learning algorithms.
- Generate a data set by collecting construction site information from large raw data bases.
- Implement a robust machine learning architecture specifically designed for the given process requirements.
- Train the machine learning architecture on the prepared data set and evaluate its performance against the current approaches.
- Apply the trained model on new test sets and analyze the predictions of the model.
- Presenting results through written and oral forms, employing the scientific method.
- Working in an international and diverse team at the BMW FIZ munich.
Opportunity is About
Eligibility
Candidates should be from:
Description of Ideal Candidate
What should you bring along?
- You are currently pursuing a bachelor's degree in computer science, informatics, robotics, mechatronic engineering, artificial intelligence, mathematics, electrical engineering or a related field, with a specialization in machine learning or artificial intelligence, and approaching the completion of your studies.
- You have strong knowledge in machine learning, deep learning, anomaly detection, natural language processing, generative AI algorithms and similar.
- You have proficient programming skills in Python, SQL, Pyspark with hands-on experience in PyTorch, TensorFlow, Keras, NLTK, Regex, Large Language Models LLMs, Numpy, Pandas, Git, Docker and similar. Familiarity with C++ is considered advantageous.
- You are fluent in English, enabling effective communication and collaboration within an international team. Proficiency in speaking German is a plus.
- You are motivated at solving problems independently as well as sharing/driving innovative ideas and working in a team.
Dates
Deadline: As soon as possible
Cost/funding for participants
What do we offer?
- Comprehensive mentoring & onboarding.
- Personal & professional development.
- Flexible working hours.
- Digital offers & mobile working.
- Attractive remuneration.
- Apartment offers for students (subject to availability & only Munich).
- And many other benefits
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