Machine Learning - Zürich, Schweiz - Comparis

Comparis Zürich, Schweiz

vor 2 Tagen

full_or_Nebenberuflich

Beschreibung

What you will do

We're looking for an open and passionate individual to join our data team. As a Machine Learning / AI Intern, you will have an exciting 4-6 week journey, ideally between August 1st and September 30th, where you will gain insights into what we do and how we do it. 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 informed decisions.

In detail, you will be responsible for:

Assisting in the development of machine learning models, with a focus on Generative AI. This will involve working on various use cases and helping to implement and improve machine learning algorithms.
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

What we expect from you

Creativity and curiosity for data-driven innovation in an online environment. Ability to apply data modelling, statistics and machine-learning to delight our users and solve business problems in the fields of personal finances and marketplaces
Currently pursuing a bachelor's or master's degree in computer science, data science, or a related field.
Knowledge/understanding in at least one programming language (e.g. Python, Scala, Java).
Interest in working with foundation models (e.g. LLMs, multimodal models). Practical experience with tools like Python scikit-learn, LLMs deployment or fine-tuning is a plus.
Ideally, you could also participate in an AI Hackathon together with other students within the first week of the internship. Although the details of the hackathon are still being defined, we can assure you that it will be a rewarding experience filled with valuable insights. There will be great prices for the winners and you will also have the opportunity to explore and develop the ideas from the hackathon throughout the duration of the internship
Fluent in English

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.

This internship will provide you with valuable hands-on experience in machine learning, data analysis, and visualisation. Your contributions will directly impact and enhance our projects. If you are eager to learn and have a passion for data-driven solutions, we would love to have you as part of our team

Have we triggered your interest?

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

Note: This internship can be done in a fully remote set-up, max. time zone difference of +/- 2 hours from Switzerland (GMT +2) or onsite in Switzerland. In case of a fully remote set-up, please note that the employment will be through our Employer of Record partner, , and accordingly, it will comply with the labour laws and conditions of the respective country. If you come to Switzerland from abroad for this internship, Comparis will support you with organising and financing your travels and stay.

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Machine Learning - Zürich, Schweiz - Comparis

Beschreibung

What you will do

What we expect from you

In return, here is what you can expect from us

Have we triggered your interest?

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