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Summer Internship: AI / Machine Learning(m/w/x)
Building data pipelines and preparing datasets for end-to-end project implementation. Solid Python skills and ML framework experience required. Exposure to full project lifecycle.
Requirements
- Solid Python skills
- Experience with data analysis libraries
- 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
Tasks
- Support end-to-end ML/AI project design and implementation
- Prepare datasets
- Clean datasets
- Explore datasets
- Build data pipelines
- Engineer features
- Train ML models (classification, regression, clustering)
- 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
- Automate reporting or forecasting tasks
- Document methods and results
- Present insights to stakeholders
Education
- Currently in higher educationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- pandas
- numpy
- scikit-learn
- Jupyter Notebooks
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Summer Internship: AI / Machine Learning(m/w/x)
Building data pipelines and preparing datasets for end-to-end project implementation. Solid Python skills and ML framework experience required. Exposure to full project lifecycle.
Requirements
- Solid Python skills
- Experience with data analysis libraries
- 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
Tasks
- Support end-to-end ML/AI project design and implementation
- Prepare datasets
- Clean datasets
- Explore datasets
- Build data pipelines
- Engineer features
- Train ML models (classification, regression, clustering)
- 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
- Automate reporting or forecasting tasks
- Document methods and results
- Present insights to stakeholders
Education
- Currently in higher educationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- pandas
- numpy
- scikit-learn
- Jupyter Notebooks
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
AT61 NXP Semiconductors Austria GmbH & Co KG
Industry
IT
Description
The company is focused on secure, connected IoT devices and offers the EdgeLock 2GO IoT service platform.
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