Virtusan is a Swiss based health coaching platform for sleep, stress and recovery that works with any wearable, including our own smart ring.
Erforderliche Skills & Erfahrungen F ull Stack Development AAWU18 technisch und funktional weiterentwickeln neue Features Fullstack umsetzen
Vicoland gives the professional services market a new dimension: Virtual Companies – Vicos.
Gehalt: ab EUR 4.061 brutto/Monat 2 AI Engineer (m/w/x) – Cloud & Agent Plattform ÖBB-BCC GmbH Wien-Leopoldstadt, Wien 1020 AUT Normalarbeit
Implement agent features and integrations in production codebases – APIs, websockets, tool-calling workflows – following established architecture patterns.
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Agricultural Innovation at Organifarms We are a startup at the forefront of agricultural innovation, specializing in the development of harv
BEI UNS LERNST DU MODERNSTE TECHNOLOGIEN RUND UM DATEN UND KI KENNEN, GESTALTEST VON ANFANG AN MIT UND WIRST TEIL EINES DYNAMISCHEN TEAMS.
Hybrides Arbeiten am Standort Köln, München oder Wien mit vielen weiteren kreativen Menschen.
German (C1+) and English required You make sure 10+ software companies get real value out of AI.
& Verantwortlichkeiten Entwicklung und Implementierung von AI- und Agenten-Lösungen von der Idee bis zum produktiven Einsatz Konzeption mode
Job Title: System Integrator / Software Engineer – Robotic Hand (m/f/d) Location: Berlin, Germany Why this role matters Having secured disru
Delivery-Verantwortung: Schnelle Produktivsetzung, hohe Qualität und Kundenmehrwert sicherstellen (inkl.
Was Du bei uns machst Vor Ort verstehen: Mit Fachabteilung und IT herausfinden, wo Zeit verloren geht und welche Daten wo liegen Bewerten: U
Data Scientist Sensors Data Scientist Sensors Every day, around 3,000 employees of RUAG and RUAG Real Estate make as significant contributio
Entwicklung und Umsetzung von AI-Lösungen von der Anforderungsanalyse und Konzeption bis zum produktiven Einsatz Integration von AI-Modellen
Entwickelt Python/Django-Features für eine Praxissoftware und integriert lokal laufende KI-Modelle für Dokumentenklassifikation und Extraktion.
Entwickelt Features im ERP-Kernprodukt und in Paula, dem AI-Produkt, von Konzept bis Produktion und verantwortet sie danach.
We are looking for a motivated and skilled ML Engineer to join our AI team.
Forschung an KI-Algorithmen und ihrer Hardware-Umsetzung: Entwurf von Chips für assoziative Speicher, KAN-Beschleuniger und lokale Lernregeln.
Was du bei uns machst Technische Umsetzung beim Kunden: Architektur, Integration und Inbetriebnahme von KI-Lösungen (LLMs, RAG, Agentic AI,
Führen vom Data Science Team, samt Organisation und Strategie.
Im Mittelpunkt steht die Weiterentwicklung des internen AI Hub auf Basis von Open WebUI.
AI-Plattformengineer AI-Plattformengineer Bei uns gestaltest du die Zukunft im Bereich Artificial Intelligence aktiv mit!
Konzeption, Architektur und Implementierung von KI-Lösungen mit Fokus auf Digitalisierung und Automatisierung Überführung von ML-/LLM-Workfl
At 5Plus (part of Pentadoc Group), we build production-grade AI systems that solve real operational problems for our customers.
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
6+ years in ML/AI engineering incl. 2+ years in a lead role, with at least one product taken from zero to production Python, FastAPI and production MLOps on Azure or another major cloud Time series, recommender systems, causal/uplift methods and strong statistics A/B testing, model evaluation and production monitoring LLMs and LangGraph (or similar) on Azure OpenAI, and knowing when not to use them Experience as a tech lead or staff engineer, making technical decisions that a team of engineers followed. Privacy-aware handling of health data Based in Europe and fluent in English Nice to have: bandits, RL or off-policy evaluation; health or wearable data; literature mining; AI in engineering workflows (coding agents, AI-assisted testing, CI). Application process Instead of a cover letter, please send us the answers to 2 of the following 3 questions together with your CV. 1) Tell us about an ML product you took from zero to production.
What did you own, and what changed because of it? 2) You have a recommendation engine and want to know whether a protocol actually improves users sleep. How would you measure that? 3) Tell us about a technical decision you made for a team that others disagreed with. How did you get alignment, and how did it turn out?
Virtusan is a Swiss based health coaching platform for sleep, stress and recovery that works with any wearable, including our own smart ring. We re hiring our first AI Tech Lead to build the intelligence behind our coach: turning biometric and behavioural signals into personalised programmes that help people sleep better and stress less. You’ll be the technical authority for AI across engineering; you make the calls on architecture and approach, set the standards others build to and stay hand-on in the code.
What you ll be doing 1) Signal interpretation: Turn wearable and in-app data into recovery, stress and sleep insights, using personal baselines and trend detection. 2) Multi-device data: Normalise metrics across vendors, weight sources by reliability, and handle missing data and device switches. 3) Recommendation engine: Personalise protocol sequences by dose and timing with classical ML (e.g. contextual bandits, sequential recommenders or RL). 4) Feedback loops: Learn from real user behaviour and biometric responses which protocols work, and for whom. 5) Evaluation: Offline metrics, online experiments and production monitoring for every model and LLM feature. 6) AI platform: Own the roadmap, training and serving pipelines, data quality and architecture on our Python and Azure stack. 7) Technical leadership: Make and own the key architecture and modelling decisions, and write them down (RFCs, ADRs etc.) so the team can build them. 8) Privacy: Make secure handling of sensitive health data part of the design from the start. 9) Collaboration: Help product, design and marketing shape AI features and understand what the models can and can t do. Hands on: This is a builder role. You’ll be prototyping, evaluating and taking code through to production.
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur Originalanzeige