C
AI

Machine Learning / AI Engineer (f/m/x) 60-100%

comparis Gruppe · Zürich, ZH, CH

Actively hiring Posted 5 months ago

About us

comparis.ch is the leading comparison platform in Switzerland. We have been comparing the prices and products of health insurers, other insurance companies, telecom providers and banks for over 25 years and offer the largest Swiss online marketplace for cars and property. Our comprehensive comparisons ensure transparency for our users and help them make the right decisions. With over 80 million visits each year, we rank among the most widely used websites in Switzerland. Four out of five people recognize us as THE independent comparison platform in Switzerland. And now, with the corporate introduction out of the way, we'll get to the point: we need you!

What you will do

We’re looking for an open and passionate individual to join us in pursuit of great new AI tools that help our users make better decisions. As a Machine Learning / AI Engineer, you will help building and changing the future. You will have the opportunity to challenge ideas, contribute with your own ideas, and ideally support the development of new solutions. Additionally, you will have the chance to refine Generative models and play a role in shaping the adoption of AI tools across the company. Your impactful work will help empower Swiss consumers in making better decisions.

In detail, you will be responsible for:

  • Development of machine learning models and tools, with a focus on Generative AI as well as other areas. This will involve working on various use cases and helping to implement and improve machine learning algorithms, tools and enhancements of our current product landscape.
  • Contributing to the creation of training datasets by performing exploratory analysis, selecting and preparing the data for machine learning purposes. This will involve cleaning and organising the data to ensure its quality and suitability for model training. As well as building tools, agents and other cool stuff in the given area.

What we expect from you

  • Creativity and curiosity for data-driven innovation, generative AI, ML in general and the like in an online environment. Ability to apply data modelling, statisticsand machine-learning to delight our users and solve business problems in the fields of personal finances and marketplaces.
  • More than 4 years of experience in Data Science and Engineering skills.
  • Deep understanding in at least one programming language (e.g. Python, Scala, Java).
  • At least 2 years experience and deep understanding in working with foundation models (e.g. LLMs, multimodal models). Practical experience with tools like Python scikit-learn, LLMsdeployment, fine-tuning,openAIPlatform or others.
  • Fluent in English, German is a plus.

In return, here is what you can expect from us

At Comparis, we believe that empowered employees deliver the best results. We cultivate a culture of transparency, mutual respect and trust. Firm believers in lifelong learning, we are always trying out new things and continuously developing – both as individuals and as a team. We also offer flat hierarchies, considerable autonomy and creative freedom, as well as a skilled and motivated team that will advise and support you in your work and make it easy for you to push your own boundaries. Finally, we offer flexible working hours to work from wherever you are and live.

Have we triggered your interest?

Then don't hesitate and apply for our position today. If you have any questions, Simone, our People Business Partner, will be happy to help. We look forward to receiving your application!

**Note: This is an on-site role.

Tags & focus areas

Used for matching and alerts on DevFound
Remote Ai Ai Engineer Machine Learning
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.