Internship Data Science & Machine Learning (f/m/div)

München, BY, DE, Germany

Job Description

#WeAreIn to create tiny chips and big careers. The future won’t wait... why should you? Join us and make a difference. Whether you join as a student, intern, or trainee, you'll be part of something real - real projects, real impact, and real opportunities to grow. Are you in?



Your Role





As an intern in Infineon’s

Application Framework department

, you will work closely with our team and engage with stakeholders from across the organization. This position offers you an excellent opportunity to gain hands-on experience in the realm of data science and ML which will actively contribute to the business success of Infineon. You will develop valuable skills in data science and machine learning while collaborating in an international environment



Key responsibilities in your new role



System Development

: Assist in recommender system development, while testing and actively contribute to further enhancement

Model documentation:

Produce clear and reproducible model documentation for clearer data analysis

KPI tracking

: Perform KPI definition and E2E implementation via dedicated dashboards, gaining hands-on experience on the matter

Critical Support

: Support on various topics when requested, based on the requirements and needs of the team


Your Profile





Qualifications and skills to help you succeed

Study Field

: Enrolled in a Master’s program of Computer Science, Data Science, Statistics, Mathematics, Engineering, or similar

Data Analysis skills

: Strong proficiency in Python for Data Science and Machine Learning, paired with an understanding of recommender system techniques (Graph based methods, embedding learning, collaborative filtering)

Previous Experience

: Experience with Deep learning frameworks (PyTorch, TensorFlow), relational databases and graph databases (SQL) and Tableau. Affinity for GNN Libraries is a strong plus

Way of working:

Independent, proactive and business-impact-oriented way of working, with a team-focused openness and empathy, to ensure high-quality outcomes

Interests:

Enthusiasm for Machine Learning, data structures, algorithms, probability/statistics, as well as analytical thinking to interpret data and provide insights

Language Skills

: Fluency in English. German is a big plus


Please attach the following documents to your application:

CV in English Certificate of enrollment at university Excerpt of the study regulations for the mandatory internship (if applicable) Latest grades transcript (not older than 6 months) High school report


Contact:



José Azevedo

Further links:



Find out what we are looking for in your CV

Find out how the student application process works with us

Discover our student website



#WeAreIn for driving decarbonization and digitalization.



As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.

Are you in?





We are on a journey to create the best Infineon for everyone.



This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Learn more about our various contact channels.

We look forward to receiving your resume, even if you do not entirely meet all the requirements of the job posting.

Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.

Click here for more information about Diversity & Inclusion at Infineon.

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Job Detail

  • Job Id
    JD4157763
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Vollzeit
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    München, BY, DE, Germany
  • Education
    Not mentioned