offres d'emploi IT & Développeurs en Suisse

Hapimag AG jobs

AI Engineer (f/m/d)

CHF 125’000 - 135’000
Hapimag AG
Sumpfstrasse 18, Steinhausen, ZG
CHF 125’000 - 135’000
Taille icon
Taille
50-200
Type d'entreprise icon
Type d'entreprise
Services
Niveau icon
Niveau
Regular
Type d'emploi icon
Type d'emploi
Plein temps
Langue icon
Langue
Anglaise
Parrainage de visa icon
Parrainage de visa
Non

Exigences

Obligatoire:
• Completed degree (FH, University, ETH) with a focus on computer science or equivalent. • Minimum 5 years experience as a Software Engineer, preferably backend (Python or Java). • Good knowledge of large language models (LLMs), retrieval-augmented generation (RAG), agentic design patterns, generative AI, Model Context Protocol and machine learning. • In-depth understanding of modern software architectures and development best practices. • Experience in end-to-end building and operating scalable AI-based systems. • Proven experience in developing and integrating enterprise applications and solutions. • Knowledge of DevOps (Kubernetes), databases (MySQL, PostgreSQL), GCP ecosystem, API gateways (e.g., Apigee) and Pub-Sub technologies (Kafka or similar) is a big plus. • Fluent communication (oral/written) in English is a prerequisite; German skills and other foreign languages are a significant advantage. • Proactive, collaborative personality with a high sense of responsibility and didactic skills.

Technologies

AI
Apigee
Machine Learning
Marketing

Responsabilités

• Take a leading role in the AI journey of Hapimag by supporting the definition of the AI strategy and being a main part in its execution. • Challenge current processes and boost their efficiency by integrating AI features. • Oversee and implement AI-related features, from content creation to chatbots. • Drive the process of delivering new features for both customer- and staff-facing systems. • Play a key role in Hapimag’s digital transformation process.

Méthodologie

La description


AI Engineer (f/m/d) Steinhausen (Zug), SWITZERLAND Workload: 80-100% Starting: Immediately / Upon agreement We are Hapimag: a sharing community for vacation rentals. We own and operate 56 vacation rentals in various popular destinations across Europe – by the sea, in the mountains, and in cities. And why? Because we want to go on vacation in a relaxed and mindful way. Our team is highly committed to simplifying the holiday experience for our guests and members, from booking their stay to planning their next vacation. All processes for guests and employees are designed to be so intuitive and efficient that our guests not only look forward to their next stay but also take many wonderful memories with them and are happy to come back. To fulfill our mission, we are looking for an enthusiastic and energetic team player! What we offer: • Challenging tasks and varied activities with the chance to develop and realize your potential in an international environment. • A modern open-office workplace at the Hapimag headquarters in Steinhausen (ZG) with good transport links. • Hybrid working model (up to 40% remote work) and the opportunity to occasionally work from a resort. • Attractive employee benefits for holidays in the Hapimag resorts. • Support for personal responsibility and further development of our employees. Apply now: Have we convinced you to become part of our Hapimag family and success story? We look forward to receiving your complete application file by E-Mail directly to: [email protected] Please note that for this position, Hapimag is exclusively considering and reviewing LinkedIn and direct E-Mail applications from candidates with an existing, valid residence and work permit for Switzerland. About Hapimag: As pioneers of the sharing economy, we are a team of over 1,800 people and approximately 120,000 members. Our common goal is to offer a high-quality and sustainable vacation experience. Together, we use 56 different vacation resorts in popular destinations across Europe – by the sea, in the mountains, or in cities – because we want to vacation in a relaxed and responsible way. Privacy policy for applicants: https://jobs.hapimag.com/en/privacy-notice

Avantages

job benefits iconRéductions sur les produits de l'entreprise
job benefits iconBureau cool
job benefits iconParcours professionnel et bilan annuel
job benefits iconTemps partiel possible
job benefits iconBureau bien connecté
job benefits iconAide Ă  la garde d'enfants
job benefits iconEquipe internationale
job benefits iconSemaine de travail de 40 heures
job benefits iconFruits frais
job benefits iconCafé, thé
job benefits iconEvénements d'équipe
job benefits iconBabyfoot
job benefits iconActions de l'entreprise
job benefits iconBureau Ă  domicile / Ă  distance 2 jours par semaine
job benefits iconTravail Hybride
Quelque chose ne va pas ou est incorrect avec ce travail? Dites-le nous sur le chat 💬 à droite ➡️
Vous pouvez trouver les statistiques salariales des Ingénieur Machine Learning salaires en Suisse.

Combien y a-t-il d'emplois Ingénieur Machine Learning dans en Suisse?

Actuellement, il y a 260 ML, AI travaux. Consultez également: TensorFlow offres d'emploi, Python offres d'emploi, Computer-Vision offres d'emploi - tous avec des échelles de salaire.

Est De la Suisse est un bon endroit pour les Ingénieurs Machine Learning?

La Suisse est l'un des meilleurs pays pour travailler comme Ingénieur Machine Learning. Il a une communauté de startups dynamique, des hubs technologiques en pleine croissance et, le plus important : de nombreux emplois intéressants pour les personnes qui travaillent dans la technologie.

Quelles entreprises embauchent pour des Ingénieur Machine Learning offres d'emploi en Suisse?

dreipol AG, Hapimag AG, Innovation Process Technology AG, Sitrox, MediRapp AG, Circuit Mind, Oepfelbaum IT Management AG entre autres, recrutent actuellement pour des postes ML, AI en Suisse.

L'entreprise avec le plus d'ouvertures est Rockstar Recruiting AG car ils embauchent pour 28 différents Ingénieur Machine Learning offres d'emploi en Suisse. Ils sont probablement assez déterminés à trouver de bons Ingénieurs Machine Learning.