-
TieTalent

Internship AI - Machine Learning Engineer

TieTalent
Switzerland · Internship · Internship

About

Do you have a passion for developing and implementing AI models to enhance efficiency and innovation at KPMG? Find technical solutions for AI initiatives in collaboration with various internal teams to ensure a seamless integration.

Your contribution to KPMG

  • 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 of common 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
  • Support the implementation of smart data strategies

This is what makes you successful

  • Currently enrolled in a Bachelor's or Master's 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

Your benefits

We offer a range of generous benefits designed to help you thrive with us and benefit for life. Discover them below.

Discover KPMG - Become part of our team

Our team is composed of talented and dedicated professionals who work in a collaborative and innovative environment. We value teamwork and the exchange of ideas to develop the best solutions together. Our dynamic work environment fosters creativity and personal as well as professional growth. We collaborate with a variety of clients from different industries, all of whom share a common goal: to optimize their business processes and develop innovative solutions using artificial intelligence and machine learning.

As an Intern in AI and Machine Learning, you have the freedom to independently develop technical solutions for your colleagues' requests. You can grow with the company in the AI field, shape the direction, and learn a lot about AI yourself. We support you in continuously expanding your skills and taking on new challenges.

With 300 different auditing and advisory service opportunities, our people can choose the career path that suits them best. Through our competencies in business transformation as well as ESG consulting, we support our clients in today's biggest challenges. We are a purpose-led and values driven company where your insight can create opportunities for you and contribute to a better future. Do work that matters, supported by a community that values difference and cares about you. Gain learning that'll last you a lifetime and be recognized for the impact you make. Find opportunity everywhere with KPMG.

Nice-to-have skills

  • Python
  • TypeScript
  • R
  • C#
  • Java
  • C++
  • Zürich, Switzerland

Work experience

  • Machine Learning
  • Data Engineer
  • Data Scientist

Languages

  • English

Key Skills

Ranked by relevance

ai artificial intelligence machine learning typescript python java c
Login to Apply
Posted
Apr 18, 2025
Type
Internship
Level
Internship
Location
Zurich
Company
TieTalent

Industries

Technology Information Internet

Categories

Engineering Information Technology

Related Jobs

3 roles aligned with this opportunity

View all jobs
View Job Details
Edra
Related

Software Engineer - Full Stack (New York)

2026-05-24

Full-time
Not Applicable
United States
Technology
Engineering
View Job Details
Edra
Related

Software Engineer - Back End (New York)

2026-05-24

Full-time
Not Applicable
United States
Technology
Engineering
View Job Details
Yext
Related

Software Engineer

2026-05-17

Full-time
Mid-Senior
United States
Technology
Engineering