Working at Freudenberg: We will wow your world!

Responsibilities:

• Assist in the development of machine learning and deep learning applications.
• Collect, clean, and preprocess structured and unstructured data; build high-quality datasets and perform data annotation.
• Apply machine learning and deep learning algorithms for model development, training, and evaluation.
• Optimize model performance through feature engineering and hyperparameter tuning to improve prediction accuracy.
• Develop user-friendly web-based interfaces or applications for data visualization and interaction. Integrate trained models into user interfaces and deploy them as model services.
• Prepare clear and comprehensive technical documentation, including model training processes, deployment procedures, and user guides.

Qualifications:

• Currently pursuing a Master's degree or above in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, or a related field.
• Proficient in Python and familiar with commonly used deep learning frameworks for computer vision as well as machine learning libraries such as Scikit-learn and XGBoost.
• Hands-on experience in data cleaning, feature engineering, and model evaluation.
• Basic understanding of web development technologies and front-end frameworks (e.g., Vue.js or React). Familiarity with machine learning model deployment tools such as FastAPI and Docker.
• Strong sense of responsibility, excellent learning ability, and good communication and teamwork skills.
• Available to work at least three days per week. Candidates with practical project experience (e.g., academic projects, competitions, or research projects) are preferred.

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The Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law.