For our Munich office, we are now looking for a dedicated:
Student - Machine Learning project (f/m/d)
Your responsibilities:
- Actively shape a cutting-edge AI-based business model with a Machine Learning system at its core
- Define new applications and creative methods of applying Machine Learning to various business aspects
- Use data insights to design and build Machine Learning algorithms
- Test and actively collect feedback on the performance of various algorithmic models
- Preparation and automation of datasets
- Analyse data and report results to help informed decision making
- You will participate in and accompany qualitative and quantitative user research to gain understanding in work processes and deliverables
- You will apply your scientific knowledge to analyze data, perform statistical analyses, identify problems, devise solutions and construct methodologies, including metrics and best practices, and conduct experiments to validate these
Your qualifications:
- You are currently a student (BA/MA/PhD) in Computer Science, Mathematics, Artificial Intelligence or a related technical field
- You are interested in writing your thesis or research project with us or join as a working student
- Proven experience in conceiving, developing and maintaining complex Applied Machine Learning systems
- Experience with MLaaS applications
- Experience with Python and Machine Learning frameworks
- Experience with data analysis concepts and tools (e. g. SQL, Pandas, R)
- You have experience applying relevance and Machine Learning algorithms. You understand the ins and outs of building AI products
- Strong mathematical background and interest, allowing you to understand modern Machine Learning methods in their details, and making you eager to adapt and further develop these methods in your daily work
- You are passionate about optimization and want to take new challenges head-on
- You have a strong analytical mindset
- Very good communication skills (German and English – fluent in spoken and written)
Did we spark your interest? Please send us your application with your earliest possible start date and your salary expectation and become a part of our team!