Description
About the Role:
KUMMUNI Research is seeking a talented Machine Learning Engineer currently pursuing a Master’s or PhD degree to take a key role in developing and deploying AI models for our financial scoring systems. In this role, you will work on optimizing and deploying on-device machine learning algorithms that analyze financial data and generate accurate scores. As part of the KUMMUNI Research team, you’ll collaborate with developers, data scientists, and analysts, contributing to cutting-edge research projects and ensuring smooth integration of AI models into our platform.
This is an exciting opportunity to apply your academic knowledge in a real-world setting, while gaining practical experience in AI development within a fast-growing company.
Key Responsibilities:
- Assist in designing, developing, and deploying machine learning models to support financial scoring systems and research initiatives.
- Collaborate with the data science team to translate research goals and business objectives into scalable AI solutions.
- Help ensure the effective integration of machine learning models into the backend architecture, particularly for on-device deployment.
- Analyze large datasets to identify features and trends that improve model accuracy and performance.
- Optimize model performance through hyperparameter tuning, validation, and evaluation.
- Monitor and maintain models, ensuring they meet both research standards and business objectives.
Qualifications:
- Currently enrolled in a Master’s or PhD program in Machine Learning, Data Science, Artificial Intelligence, or a related field.
- Strong experience with Python.
- Knowledge of deploying machine learning models in production environments, with a focus on on-device solutions.
- Familiarity with data preprocessing, feature selection, and model evaluation techniques.
- Excellent problem-solving skills and ability to work with large datasets.
- Fluent in English; German proficiency is a plus.
In KUMMUNI, the focus is on achieving great outcomes and making a significant impact. The length of time spent in the office is not the priority. Rather, the emphasis is on producing high-quality work that delivers tangible results.
Featured benefits
- Flexible Working Hours
- Collaborative Working Space
- Remote Working Options
- Transportation ticket
- Housing
- Apple Devices
- Free beverages
Featured perks and benefits
- Flexible Time Off
- Casual Dress
- Flexible Working Hours
- Paid Holidays
- Free Snacks
- Work From Home