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AI Engineer / Consultant - Internship

Artifact -
Zürich, ZH

Soumettre votre candidature

Détails de l'emploi

100%

Qualifications

Français
Spark
Git
Anglais
Google Cloud Platform
SQL
AWS
Docker
Niveau Licence
Leadership
Python
Allemand

Description complète du poste

Description

AI brings huge potential, but many companies are still struggling to release the desired impact. We are a pragmatic and dynamic team to help “empower our business clients with AI”. You, as a talent, are needed to grow our business which started up from three founders with proven track-records in AI consulting and scaled AI implementations.

For our powerful team, we are looking for a Swiss based AI Engineer / Consultant Intern to develop and deliver innovative AI solutions for our customers in the German- and French-speaking regions of Switzerland.

Your mission

Design, implement, and deploy pragmatic AI solutions using state-of-the-art technologies, tailored to client needs and habits, to solve pressing business problems
Leverage AI solutions and client data to drive real-world impact and address critical business challenges
Work in high-performing, agile teams and play an active role throughout the project life cycle - from contributing to project proposals to designing and deploying solutions, as well as supporting business development activities
Build strong relationships with stakeholders across clients, partners and internal teams
Contribute to Artifact’s growth by developing assets and driving initiatives that support the company’s success

What you can expect

Work on real-world projects with Swiss clients, using the latest AI technologies and software
Get started right away by working on client projects starting your first months at Artifact
As an intern at Artifact, you will contribute to client projects and play and active role in development tasks. You’ll also have the opportunity to work on internal projects and initiatives, enhancing both your technical expertise and leadership skills
Be involved in shaping our internal asset and strategy - your ideas and technical skills will help move Artifact forward
Enjoy a flexible work environment where you can grow, learn, and be part of a team that is passionate about AI

About Artifact

Artifact is dedicated to empowering people with AI for the better. As a professional service provider, we do AI and Data Science. Together, we are leveraging the best ideas to find pragmatic and sophisticated solutions with the best suited technology. We help our business clients from any sectors and any size, to accelerate their journey with AI and deliver real impact.

Your profile

Experience in (Gen)AI and Data Science with a good understanding of Machine Learning concepts, including Deep Learning, Natural Language Processing and Computer Vision
Fluency in Python, along with experience in Git, SQL, DevOps and MLOps
Familiarity with analytics libraries, visualization tools and Big Data frameworks, e.g. NumPy, SciPy, Pandas, scikit-learn, PyTorch, TensorFlow, Spark
Excellent written and oral communication (English and German or French is a must)
Enjoying communication and building relationships with clients and teams is a plus
Willingness to travel in Switzerland and available work permit in Switzerland
You intend to start your new job at Artifact within the next 3 months from your point of application

Additional preferred qualification:

First experience in designing and scaling AI solutions in production on cloud platforms (e.g. Azure, AWS or GCP), with exposure to Docker, APIs, backend/frontend, and microservices architectures
Experience in frontend engineering e.g. React
Experience as a full stack engineer is a plus

You’re the ideal candidate if you’re:

Ready to move out of your comfort zone
Willing to keep learning, and to stay up to date in the fast-moving field of AI
Open-minded and eager to learn with people with different expertise

Soumettre votre candidature

Affinez votre recherche

devops engineer cloud engineering emplois

AI Engineer / Consultant - Internship

Test Architect (80–100%)

Industry Process Expert

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Platform Engineer (Kubernetes & Infrastructure) 80–100%

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