Internship in Machine Learning
Bosch
Datum: vor 2 Wochen
Stadt: Ulm, Baden-Württemberg
Vertragsart: Ganztags
Company Description
Our drive and control technologies move machines and projects of all sizes around the world. We inspire our customers with intelligent components, tailor-made system solutions and services for fully networkable applications up to the factory of the future.
Do you want to move more? Welcome to Bosch Rexroth.
Bosch Rexroth AG is looking forward to your application!
Job Description
Join the innovative team at Bosch Rexroth’s Industrial Hydraulics Data Lab and work on innovative data science and MLops projects. In collaboration with various teams within Bosch, you will have the opportunity to research, develop and implement data processing methods based on state-of-the-art statistical and machine learning approaches, providing a broad exposure to the industry’s best practices and cutting-edge technologies.
Start: according to prior agreement
Duration: 6 months
Requirement for this internship is the enrollment at university. Please attach your CV, transcript of records, enrollment certificate, examination regulations and if indicated a valid work and residence permit.
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.
Need further information about the job?
Vishnu Valsalan (Business Department)
+49 731 49373 307
You can find more information about us at www.boschrexroth.com/en and on our social media channels, for example our Instagram channel.
Our drive and control technologies move machines and projects of all sizes around the world. We inspire our customers with intelligent components, tailor-made system solutions and services for fully networkable applications up to the factory of the future.
Do you want to move more? Welcome to Bosch Rexroth.
Bosch Rexroth AG is looking forward to your application!
Job Description
Join the innovative team at Bosch Rexroth’s Industrial Hydraulics Data Lab and work on innovative data science and MLops projects. In collaboration with various teams within Bosch, you will have the opportunity to research, develop and implement data processing methods based on state-of-the-art statistical and machine learning approaches, providing a broad exposure to the industry’s best practices and cutting-edge technologies.
- You will analyze complex financial datasets, extract valuable insights to drive strategic decisions and improve operational efficiency.
- Exploring preprocessing, cleaning, and transformation techniques to enhance model performance in the long- and short-term forecasting will be also part of this internship.
- Moreover, you will communicate and present the results and methods to team members and stakeholders.
- Take the chance and collaborate with other team members to develop innovative approach and highly scalable solutions for Bosch Rexroth.
- Education: studies in the field of Mathematics, Computer Science, Electrical Engineering, Mechanical Engineering or comparable
- Experience and Knowledge: in software development, process monitoring, data processing and/or machine learning as well as in signal processing and statistical learning, proven programming experience in Python, Julia and/or R, experience with Cloud computing services (AWS, Microsoft Azure, Google Cloud, …) is desirable
- Personality: excellent communication skills
- Enthusiasm: for learning new tools & technologies
- Languages: German and/or Englisch min. B2
Start: according to prior agreement
Duration: 6 months
Requirement for this internship is the enrollment at university. Please attach your CV, transcript of records, enrollment certificate, examination regulations and if indicated a valid work and residence permit.
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.
Need further information about the job?
Vishnu Valsalan (Business Department)
+49 731 49373 307
You can find more information about us at www.boschrexroth.com/en and on our social media channels, for example our Instagram channel.
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