Praktikant Machine Learning & AI Services (w/m/d)
Swiss Life AG
Zürich
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.
Das bieten wir
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
Deine Stärken
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
Dein Arbeitsort Grubenstrasse 49, 8045 Zürich
Dein KontaktLinda Fackelmayer Kontaktformular
Wenn du dich bewerben möchtest, dann sende uns bitte folgende Unterlagen:
Bewerbungsschreiben
Lebenslauf mit Foto
Sämtliche Zeugnisse der höchsten Sekundarstufe I
Multicheck Wirtschaft und Administration
Schnupperberichte und Stellwerktest (falls vorhanden)
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