
Summer Internship: AI / Machine Learning (m/f/d)
NXP Semiconductors
2100 - 2100 EUR / Monat
Status
Hexjobs Insights
Summer Internship in AI/ML at NXP Semiconductors. Responsibilities include ML project support, data management, and model evaluation. Requirements: solid Python and stats knowledge. Salary: 2100 EUR/month.
Schlüsselwörter
Python
Machine Learning
Data Analysis
Pandas
NumPy
Scikit-learn
Jupyter Notebooks
Statistics
Data Structures
ML Frameworks
Vorteile
- Full-time internship opportunity
- Hands-on experience with ML/AI projects
- Development of prototypes and tools
- Collaboration with stakeholders
- Opportunity to enhance Python and data analysis skills
This internship may include the following tasks:
In this summer internship you will be able to support the design and implementation of an ML/AI project.
- Support the end-to-end design and implementation of an ML/AI project
- Prepare, clean, and explore datasets; build data pipelines
- Engineer features and train/evaluate ML models (classification, regression, clustering)
- Optimize models through hyperparameter tuning and comparison
- Develop simple prototypes (e.g., internal tools, APIs)
- Work with structured data, time-series, or NLP depending on project needs
- Automate reporting or forecasting tasks
- Document methods and results and present insights to stakeholders
Your profile:
- Solid Python skills
- Experience with data analysis libraries (e.g., pandas, numpy)
- Basic understanding of machine learning concepts
- Experience with scikit-learn or similar ML frameworks
- Familiarity with Jupyter Notebooks
- Solid understanding of statistics and data structures
- Curiosity and willingness to learn new tools and methodologies
- Proactive communication and teamwork mindset
We offer
Gratkorn
Full time
2026-03-10
Posted Today
R-10061944
Availability: Full-time for **2-3 months between June and October 2026
The minimum salary for this position is 2100,- EUR gross monthly/full-time.
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Aufrufe: 2
| Veröffentlicht | vor 2 Tagen |
| Läuft ab | in etwa 2 Monaten |
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