im Team You design and deliver applied AI solutions - from understanding client needs and defining project scope to developing prototypes, p
Über das UnternehmenDie ADI Solutions GmbH steht für moderne Softwareentwicklung – international ausgerichtet.
Batch Robotics is revolutionizing how robots operate in factories — not through rigid programming or teaching by human demonstration, but wi
Entwicklung moderner Backend- und Datenplattformen auf Basis von Java, Boot.
At Machine Learning Architects Basel (MLAB), we assist and empower people and organizations in designing, building, and operating reliable d
Wir schreiben dir, sobald eine neue geprüfte Stelle zu MLOps dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Anspruchsvolle Projekte mit LLMs, Agentic RAG und AI-Agent-Frameworks wie LangGraph oder OpenAI Agent SDK.
Unternehmen: Airbus Defence and Space Standort: Tesat, Backnang Vertragsart: Vollzeit Um die Zukunft autonomer Systeme zu gestalten, bündelt
Spezialisierung auf Retrieval-Augmented Generation (RAG), Chatbots, agentenbasierte Systeme und Large Language Models (LLMs) Konzeption, Ent
Gehalt: ab EUR 3.958 brutto/Monat 2 Senior Spezialist:in CBM & Data-Driven Maintenance (IoT & Machine Learning) ÖBB-Techn.
zum Glück: Du bist für das Entwerfen, Entwickeln und Implementieren von ML-basierten Lösungen in einer produktionsbereiten Umgebung unter Ve
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
im Team You design and deliver applied AI solutions - from understanding client needs and defining project scope to developing prototypes, proof-of-concepts and early MVPs in collaboration with interdisciplinary teams across different industry and startup contexts. You actively contribute to innovation sprints and venture-building activities, working with startups, researchers, and domain experts to identify AI-driven opportunities and translate them into technically feasible concepts. You ideate, prototype and validate AI solutions using agile and user-centered innovation approaches such as design thinking and iterative experimentation.
You develop end-to-end development of AI applications, and technical pipelines, applying your expertise in applied machine learning, data pipelines, model development, and engineering best practices. You mentor and advise teams on the design, development, and optimisation of AI pipelines with a focus on applied machine learning, ensuring alignment with responsible AI practices and robust engineering practices. You design and operate AI workflows including model training, retrieval-augmented generation (RAG), distributed training within scalable AI infrastructure across HPC and cloud environments and develop hands-on reference workflows (LLM fine-tuning, RAG pipelines, AI agents, MLOps templates) to support partner projects end-to-end.
You support the development and delivery of AI training formats such as workshops, technical tutorials, and knowledge-sharing sessions, helping to transfer expertise to startups, industry partners, and the internal ecosystem. You ensure trustworthy AI practices by integrating considerations such as fairness, privacy, security, and regulatory compliance into the development process. You collaborate with internal teams and external partners to capture insights from projects, document technical learnings, and contribute to the continuous improvement of AI services and innovation methodologies.
When appropriate, you support the representation of AI Factory Austria in workshops, innovation programs, and ecosystem activities, contributing to the visibility and impact of applied AI initiatives.
Proven Large Language Models (LLMs) and Generative AI, including retrieval-augmented generation (RAG), AI agents, prompt engineering, as well as domain-specific fine-tuning. Familiarity with Responsible-AI-Frameworks and EU-AI-Regulations. Strong expertise in at least one of the following areas: NLP, Computer Vision, time-series Analytics, Computational Audio Intelligence.
Good practices with agile and user-centered approaches. Excellent language skills in German and English. You should be eligible for working in Austria.
Erfahrung Several years of experience in developing and operationalising ML/DL solutions (PyTorch, TensorFlow) on GPU/HPC systems. Practical experience in MLOps: Docker/Kubernetes, GitOps, MLflow/Kubeflow, observability stacks (Prometheus/Grafana, ELK). Experience with HPC schedulers (e.g., SLURM) and hybrid cloud architectures.
Experience with prototyping, proof-of-concepts, or MVP development in an applied context. Experience working in collaborative, interdisciplinary environments and with external partners or stakeholders. Ausbildung Completed degree (Master’s/PhD) in Computer Science, Data Science, Artificial Intelligence, or a related field.
A key function in a visionary field of the future with high social and economic relevance. Excellent research and technology foundation as well as a dedicated team to implement innovative ideas. Significant opportunities for shaping your work and short decision-making paths within an open, agile organizational structure. Close collaboration with leading national and international partners as well as access to unique AI and HPC infrastructure. The gross annual salary starts at EUR 68.152,-- as a minimum according to the non-university collective agreement. The actual total salary package is determined individually according to your qualifications and experience. The position is funded by the AI Factory Austria until June 2028. An extension beyond this period may be possible depending on future project developments. At AIT, we create an inclusive and family-friendly working environment that promotes equal opportunities and actively strengthens diversity across our workforce and in leadership positions. Among other initiatives, we are committed to increasing the proportion of women in our company and therefore particularly welcome applications from female applicants. Technologien und Skills Docker Grafana Kubernetes PyTorch GitOps TensorFlow Kubeflow Prometheus MLflow Slurm Unsere Erwartungen an dich:
No All-In-Verträge Gute Anbindung Frisches Obst Betriebsarzt Paten- & Mentor- Programm Team Events Flexible Arbeitszeiten Kaffee, Tee o. Ä Kantine/Betriebsrestaurant Mitarbeitervergünstigungen Essenszulage Barrierefreiheit Extra Urlaubstage Handy zur Privatnutzung Psychische Gesundheitsv. Home Office Betr. Altersvorsorge Fahrradabstellplatz
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Zur OriginalanzeigeMLOps ist die Antwort auf ein verbreitetes Problem: Ein Modell funktioniert im Notizbuch und nie im Betrieb. Diese Rollen kümmern sich um alles dazwischen, um Trainingsläufe, die sich wiederholen lassen, um Versionen von Daten und Modellen, um Überwachung im laufenden Betrieb und um den Weg einer Änderung bis zur Auslieferung. Verlangt werden häufig Container, eine Cloud-Umgebung und Werkzeuge wie MLflow oder Kubeflow. Wer aus dem klassischen Systembetrieb kommt, hat hier gute Aussichten, auch ohne je selbst ein Modell trainiert zu haben.