Job
- Level
- Senior
- Job Feld
- IT, Data, DevOps
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- ab 53.802 € Brutto/Jahr
- Ort
- Graz, Wien, Pörtschach am Wörther See
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Position entwickelst du end-to-end Generative AI-Lösungen und AI-Agenten, arbeitest an RAG-Pipelines zur Lösungsfindung und kommunizierst direkt mit Kunden, um maßgeschneiderte AI-Strategien zu implementieren.
Job Technologien
Deine Rolle im Team
As a Machine Learning Engineer, you will play a crucial role in driving innovation and implementing cutting-edge Generative AI solutions and intelligent agentic systems.
Join our dynamic team and contribute to the development of intelligent systems that solve complex problems and enhance our business capabilities.
Your job's key responsibilities are:
- Designing and implementing end-to-end Generative AI solutions, AI agents, and RAG (Retrieval-Augmented Generation) pipelines to address business challenges and opportunities.
- Collaborating with cross-functional teams to understand requirements, providing technical expertise, and delivering scalable and robust AI solutions.
- Conducting research and evaluation of emerging AI models, agentic frameworks, and development kits.
- Working independently on Proof of Concepts (PoC) to validate and showcase the feasibility of proposed solutions.
- Conducting direct client communication to understand their needs and tailor AI-driven solutions accordingly.
Unsere Erwartungen an dich
Qualifikationen
- Proficiency in building Generative AI and Agentic applications at scale, with expertise in using agentic frameworks, vector databases, grounding, and other relevant concepts.
- Extensive knowledge of Cloud AI offerings on one of the Hyperscalers (GCP, AWS or Azure), including ready-to-use AI services, AutoML approaches, and custom model development.
- Strong and assertive communication skills.
- Passion for keeping up with industry trends and advancements in Generative AI and agentic systems.
- Knowledge of Docker and Kubernetes.
- Familiarity with CI/CD processes for MLOps/AIOps.
- A/B testing expertise for AI models and applications.
Erfahrung
- 3+ years of experience in Applied AI or Machine Learning in the industry.
- Direct experience or strong familiarity with agent development, such as Google Agent Development Kit (ADK) or similar frameworks (e.g., LangGraph, Agno).
- Proven experience in research and evaluation of emerging AI technologies, models, and frameworks.
- Hands-on experience with the Google Cloud AI/ML stack (e.g., Vertex AI, Gemini Models, Vector Search).
- Experience with AI evaluation frameworks (e.g., RAGAs, LangSmith), writing integration tests, and establishing robust validation strategies for Generative AI and agentic applications.
Benefits
Mehr Netto
- 🚙Poolcar
- 💻Notebook zur Privatnutzung
- 🛍Mitarbeitervergünstigungen
- 🎁Mitarbeitergeschenke
- 📱Handy zur Privatnutzung
- 🚎Verkehrsmittel-Zuschuss
Gesundheit, Fitness & Fun
- 👨🏻🎓Paten- & Mentor- Programm
- ⚽️Tischkicker o. Ä.
- 🧠Psychische Gesundheitsv.
- 👩⚕️Betriebsarzt
- 🎳Team Events
- 🚲Fahrradabstellplatz
- 🙂Gesundheitsförderung
Work-Life-Integration
- 🕺No Dresscode
- 🧳Relocation Package
- 🅿️Mitarbeiterparkplatz
- 🐕Tiere willkommen
- 🏠Home Office
- ⏰Flexible Arbeitszeiten
- ⏸Bildungskarenz/Auszeit
- 🚌Gute Anbindung
Essen & Trinken
Job Standorte
Themen mit denen du dich im Job beschäftigst
Das ist dein Arbeitgeber
NETCONOMY
Graz, Madrid, Belgrade, Novi Sad, Pörtschach, Graz, Graz, Zürich, Wien, Dortmund, Amsterdam, Berlin
Over the past 20 years, NETCONOMY has grown from a startup to a 500-people team working across 10 European locations. Our mission is to shape the digital leadership of our clients. We believe in the power of agile and cross-functional collaboration, bringing together people from various backgrounds to create outstanding digital solutions. We help brands design and create unforgettable experiences for their customers by building digital commerce platforms and providing digital strategy consulting. As an SAP Customer Experience and Google Cloud Platform partner, we stand out as a trusted advisor in digital transformation. We are proud of our entrepreneurial culture and a truly passionate, dedicated team. Continuous development of the brightest talents has always been our secret ingredient - and that’s why we would love to meet you!
Description
- Unternehmensgröße
- 250+ Employees
- Gründungsjahr
- 2000
- Sprachen
- Englisch
- Unternehmenstyp
- Digitale Agentur
- Arbeitsmodell
- Hybrid
- Branche
- Internet, IT, Telekom
Dev Reviews
by devworkplaces.com
Gesamt
(2 Bewertungen)Engineering
3.8Career Growth
3.7Culture
4.5Workingconditions
4.2
Senior Machine Learning Engineer
- Gehalt
- ab 53.802 € Brutto/Jahr
- Ort
- Graz, Wien, Pörtschach am Wörther See
- Arbeitsmodell
- Hybrid, Onsite
- Easy Apply
- Easy Apply
