Auf einen Blick
- Aufgaben: Entwickle KI-Lösungen von Prototypen bis zur Produktion und optimiere deren Leistung.
- Unternehmen: Innovatives KI-Unternehmen mit Büros in Lugano und Zürich.
- Vorteile: Wettbewerbsfähiges Gehalt, Wachstumschancen und ein informelles Arbeitsumfeld.
- Weitere Informationen: Dynamisches Team aus talentierten Ingenieuren und Wissenschaftlern in einem kreativen Umfeld.
- Warum dieser Job: Arbeite an spannenden Projekten, die echte Veränderungen in der Finanzbranche bewirken.
- Qualifikationen: Masterabschluss in Informatik oder Ingenieurwesen und 2+ Jahre Erfahrung als ML Engineer.
Das prognostizierte Gehalt liegt zwischen 60000 - 80000 € pro Jahr.
Artificialy is an AI company based in Switzerland, with offices in Lugano and Zurich.
We design and deliver AI solutions that are impactful, transparent, and tailored to real-world industry needs.
Founded in 2020 by pioneers with over 40 years of combined experience in the field, our team brings together talented engineers, physicists, and mathematicians from across Europe.
We are driven by curiosity, technical excellence, and a shared ambition to build AI systems that make a tangible difference.
Machine Learning Engineer , who will work with clients in the financial sector to bring AI solutions from prototype to production, with responsibilities spanning fine-tuning, deployment, inference optimization, monitoring, and continuous improvement.
You will work in project teams alongside AI scientists, ensuring systems are reliable, scalable, and aligned with the high standards typical in banking.
This position can be based in Lugano or Zurich.
You must be willing to work onsite at least 80% of the time.
Candidates must be based in Switzerland or willing to relocate to Switzerland.
About the Role Your responsibilities will span the full path from prototype to production - fine-tuning, deployment, inference optimization, monitoring, and continuous improvement of ML and LLM systems.
Projects may involve LLM serving and inference stacks, cost/latency optimization, structured-output reliability, model monitoring pipelines, or productionizing solutions designed alongside AI scientists.
You will work in project teams alongside AI scientists, software engineering, infrastructure, and domain experts to integrate solutions smoothly into enterprise ecosystems using modern deployment tooling (Docker, Kubernetes, CI/CD).
Qualifications and Skills Master's degree in Computer Science, Engineering, or equivalent. 2+ years of working experience as ML Engineer or in a similar role Experience deploying and operating ML/LLM systems in production (serving, monitoring, cost/latency optimization).
Strong programming skills (Python, SQL) and familiarity with deployment tooling (Docker, Kubernetes, CI/CD).
Hands‑on experience with cloud platforms (AWS, Azure, or GCP).
Proficiency in English.
Nice to Have Experience with LLM inference stacks (e. g., v LLM) and structured-output reliability.
Familiarity with Databricks or distributed data frameworks.
Experience in finance or other regulated industries.
We offer Competitive compensation and growth opportunities A stimulating scientific environment with an informal working atmosphere #J-18808-Ljbffr
AI Engineer Arbeitgeber: Artificialy
Artificialy ist ein hervorragender Arbeitgeber, der seinen Mitarbeitern die Möglichkeit bietet, in einem dynamischen und innovativen Umfeld zu arbeiten. Mit einem starken Fokus auf persönliche und berufliche Weiterentwicklung sowie einer offenen, informellen Arbeitsatmosphäre in der Schweiz, fördert das Unternehmen Kreativität und Teamarbeit, während es gleichzeitig wettbewerbsfähige Vergütungen und flexible Arbeitsmöglichkeiten bietet.
