Working Student AI - Machine Learning Engineer - Zürich

Salary: CHF 50’000 - 65’000 per year

Requirements:

• Currently enrolled in a Bachelors or Masters program in Informatics, Data Science, Computer Science, or a related field.
• A focus on Artificial Intelligence is a plus.
• Experience with programming languages such as Python, TypeScript, R, C#, Java, C++.
• Strong analytical and problem-solving skills, with the ability to program solutions that address user needs in the fields of advisory, tax, audit, etc.
• Excellent written and verbal communication skills in English.
• German is a plus.
• First relevant work experience is an advantage.

Responsibilities:

• Develop and implement advanced AI Agents to enhance efficiency and innovation.
• Assist in creating and maintaining the ML Ops pipeline and model catalogue.
• Conduct RAG Implementations using commonly available AI Models (OpenAI, Gemini, Mistral, Hugging Face, etc.).
• Analyze and process large datasets to extract valuable insights.
• Collaborate with cross-functional teams to integrate AI solutions and AI Agents.
• Coordinate closely with other engineers and architects to develop technical solutions.
• Utilize programming languages such as Python, TypeScript, R, C#, Java, C++.
• Support the implementation of smart data strategies.

Technologies:

• AI
• C#
• Support
• Java
• Python
• TypeScript
• Embedded
• Machine Learning

More:

At KPMG, we are passionate about developing and implementing AI models to enhance efficiency and innovation. Our commitment to quality and integrity inspires confidence and drives change, recognizing our businesss wider impact with a focus on ESG matters. We foster an inclusive, diverse, and equitable workplace, valuing uniqueness and diverse views within our teams. Our dedication to personalized training and career growth, along with daily interactions with industry experts, positions KPMG as your career springboard. Our collaborative and innovative environment allows talented professionals to optimize business processes and develop cutting-edge solutions. We believe in creating opportunities for our team members while making an impactful contribution to a better future.

last updated 3 week of 2026