Praktikant Machine Learning & AI Services (w/m/d)
We are seeking a dynamic and driven intern to join our Service Development and Product Management team with a focus on Machine Learning & AI. This internship provides a unique opportunity to work on cutting-edge projects, contribute to the development of AI-driven services, and gain hands-on experience in the field of software product management. The intern will collaborate closely with experienced professionals, participate in cross-functional teams, and contribute to the growth and innovation of our AI-based products.
- Collaborate with the Service Development and Product Management team to define, design, and implement machine learning and AI features for our products.
- Contribute to the development of AI-driven solutions by utilizing data science and machine learning techniques.
- Assist in creating and maintaining advanced Python-based code for product development.
- Participate in the planning and execution of software development projects, adhering to agile methodologies.
- Explore and implement LLMOps principles, APIs, and vector databases to enhance product capabilities.
- Work with cross-functional teams to integrate Azure MLOps and Azure Open AI Services into our product ecosystem.
- Collaborate in the complete software product development lifecycle, from ideation to deployment.
- Contribute to product documentation, training materials, and knowledge sharing within the team
- Bachelor's degree (or candidate) in Computer Science, Engineering, Mathematics, or a related field.
- Experience in data science and machine learning.
- Solid skills in Python programming.
- Experience with at least one of the following programming languages: C, C#, C++, Java.
- Knowledge of LLMOps principles, APIs, and vector databases.
- Fluent English communication skills, both written and verbal, German is a plus
- Familiarity with Azure MLOps and Azure Open AI Services
- Understanding of the agile software product development lifecycle
- Strong problem-solving skills and ability to work effectively in a collaborative team environment
Grubenstrasse 49, 8045 Zürich