Are you a customer-obsessed builder passionate about helping customers achieve their full potential? Do you have the business acumen and technical pre-sales expertise to help customers evaluate, design, and adopt AWS as their strategic platform for Generative AI and ML workloads? Do you enjoy buildi
Meta is seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various plat
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business
Let’s shape the future together! Your Role & Responsibilities Own the end-to-end data lifecycle—from collection and annotation to quality assurance, governance, and cloud storage—ensuring high-quality datasets feed into model training pipelines. Define the dataset strategy and roadmap to support sca
🧭 AI/ML Engineer – 100% 📍 Zürich, Switzerland | 💰 100k-130k + Stock Options | 🌍 Hybrid (2–3 days office) Our client is a fast-growing AI technology company building an advanced *AI agent platform** for large global enterprises. Their platform combines *large language models, proprietary AI techn
About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a divers
About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a divers
Requirements Must have: • Master’s degree or doctoral degree from a university in the area of computer science, information technology, or electrical engineering ideally with a focus on AI • Technical expertise ◦ Deep mathematical understanding of advanced topics in ML and deep learning ◦ Several ye
Requirements Must have: • Master’s degree or doctoral degree from a university in the area of computer science, information technology, or electrical engineering ideally with a focus on AI • Technical expertise ◦ Deep mathematical understanding of advanced topics in ML and deep learning ◦ Several ye
Requirements Must have: • Master’s degree or doctoral degree from a university in the area of computer science, information technology, or electrical engineering ideally with a focus on AI • Technical expertise ◦ Deep mathematical understanding of advanced topics in ML and deep learning ◦ Several ye
Requirements Must have: • Master’s degree or doctoral degree from a university in the area of computer science, information technology, or electrical engineering ideally with a focus on AI • Technical expertise ◦ Deep mathematical understanding of advanced topics in ML and deep learning ◦ Several ye
Requirements Must have: • Master’s degree or doctoral degree from a university in the area of computer science, information technology, or electrical engineering ideally with a focus on AI • Technical expertise ◦ Deep mathematical understanding of advanced topics in ML and deep learning ◦ Several ye
Requirements Must have: • Master’s degree or doctoral degree from a university in the area of computer science, information technology, or electrical engineering ideally with a focus on AI • Technical expertise ◦ Deep mathematical understanding of advanced topics in ML and deep learning ◦ Several ye
We are seeking a highly skilled Senior Machine Learning Engineer to join our team in Zug, Switzerland. In this pivotal role, you will develop and scale automated evaluation and synthetic data generation (SDG) capabilities that underpin safety assessments across multiple languages and markets. You wi
Department: Research & Development Location: EMEA-Switzerland-HQ Compensation: CHF142,962 - CHF170,785 / year Description We are building the future of digital dentistry. Align Technology has transformed orthodontics and restorative dentistry through Invisalign, the iTero intraoral scanner, and
Praktikum «KI + Machine Learning» Statistisches Amt des Kantons Zürich Praktikum «KI + Machine Learning» 80 - 100% Im Statistischen Amt gestalten wir die digitale Transformation des Kantons Zürich aktiv mit – offen, transparent und innovativ. Wir teilen unser Wissen gerne und nutzen den Raum für neu
VollzeitHybrid
Vor 1 Monaten
Geschatztes Gehalt für Machine Learning Lifecycle in Zürich
CHF 70'000 – CHF 110'000/Jahr
Schatzungsvertrauen: Hoch
Schatzung basierend auf Marktdaten für Zürich. Tatsachliche Gehalter konnen je nach Erfahrung, Unternehmen und Gebiet variieren.
Haufig gestellte Fragen zu Machine Learning Lifecycle in Zürich
Wie viel verdient ein Machine Learning Lifecycle in Zürich?
Das geschatzte Gehalt für Machine Learning Lifecycle in Zürich liegt zwischen CHF 70'000 und CHF 110'000 CHF pro Jahr, abhangig von Erfahrung und Unternehmen.
Wie viele Machine Learning Lifecycle-Stellen gibt es in Zürich?
Derzeit sind 7 Stellenangebote für Machine Learning Lifecycle in Zürich auf BeBee veroffentlicht.
Wie finde ich eine Machine Learning Lifecycle-Stelle in Zürich?
Registrieren Sie sich kostenlos bei BeBee, suchen Sie nach Machine Learning Lifecycle-Stellen in Zürich und bewerben Sie sich direkt mit einem Klick.
Welche Unternehmen stellen Machine Learning Lifecycle in Zürich ein?
Mehrere Unternehmen in Zürich suchen Machine Learning Lifecycle. Durchsuchen Sie die Angebote auf BeBee, um Unternehmen zu finden, die aktiv einstellen.