im Team You will support the ECHT team in its mission of transforming traditional materials research into a fully digitalised, data-driven p
Über das UnternehmenWenn du schon mal eine CAD-Zeichnung gesehen hast und dachtest: „Da steckt doch mehr drin als nur Linien und Maße“, dann
Sprachmodelle in Fachanwendungen integrieren: RAG mit Retrieval und Reranking, Tool-Calling, MCP-Server, Multi-Agent-Abläufe Evaluierung auf
is to provide expert human judgment on whether the resulting research is scientifically valid, genuinely novel, and of a quality comparable
Entwickelt und verantwortet die iOS-App, die ein iPhone am Mikroskop mit On-Device-Computer-Vision-Modellen in Echtzeit betreibt.
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.
Sie arbeiten eng mit Data Scientists, Data Engineers, Fachexpert:innen und Product Ownern zusammen, um robuste und langfristig gut weiteren
Leitet KI-Projekte vom Konzept bis zum Betrieb beim Kunden, entwickelt Kundenbeziehungen und integriert Voice Agents und Automatisierungen in Unternehmensprozesse.
Own business impact, not features.
Definiert die Kamera-Spezifikation für Manipulationsdaten, baut das Bewertungs-Harness und trainiert erste Robotik-Policies auf eigenen Lagerdaten.
Tensordyne engineers build software on a scalable, high-throughput internal developer platform.
Einleitung Wir sind eXXcellent solutions.
GFT Technologies ist ein verantwortungsvolles, KI-zentriertes globales Unternehmen im Bereich der digitalen Transformation.
Aptiv is a global technology leader with more than 200,000 employees across 48 countries.
GFT Technologies ist ein verantwortungsvolles, KI-zentriertes globales Unternehmen im Bereich der digitalen Transformation.
MS or PhD in computer vision, machine learning, computer science, or a related field, or equivalent practical experience - 5-7+ years of han
Huawei s Heisenberg Research Center is responsible for advanced technology research, architectural development, design and strategic engineering of our products.
Improve our computer vision pipeline end to end, from person and hand tracking to action recognition with VLMs - Fine-tune and evaluate visi
We are seeking a senior machine learning (ML) research developer to join our team working on a novel AI safety agenda.
We are seeking a Senior Machine Learning (ML) Research Scientist to join our team working on a novel AI safety agenda.
Entwickelt und trainiert Deep-Learning-Modelle für Wahrnehmung und Navigation autonomer Schwermaschinen und integriert sie in Robotiksysteme.
You will have ownership over designing, building, and scaling the core systems that bring Prior Labs foundation models to the world.
Führt Teams bei Software- und ML-Systemen zur Zahlungsrisiko- und Betrugserkennung, verantwortet Architektur und begleitet Produktivsetzung und Incident-Reviews.
Design and adapt vision-language and video models for scene understanding, temporal reasoning and activity / action recognition - Build and
Design and build agentic GenAI systems using modern frameworks such as LangChain, AutoGen or Atomic Agents, taking the lead on translating p
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
involve implementing standardised data structures, metadata schemas, and domain ontologies for material deposition, characterisation, and electrochemical testing to ensure full compliance with FAIR data principles and enable downstream automated analytics. You will design, build, and maintain robust data pipelines to automate the ingestion, processing, and curation of complex experimental datasets directly from synthesis systems and analytical instruments. You will establish and enforce clear data governance frameworks, Data Management Plans (DMPs), and access policies across the ARA-ESM domain to guarantee data integrity and security. You will develop intuitive APIs, connectors, and integration workflows to link electronic lab notebooks (ELNs), laboratory information management systems (LIMS), and central data repositories. You will create interactive dashboards and data visualisation tools that empower domain researchers to easily explore, query, and interpret multi-dimensional material properties. You will collaborate with domain experts to prepare high-quality, interoperable datasets and support the deployment of machine learning models for predictive material discovery.
Completed studies (Master’s or PhD) in Data Science, Computer Science, Materials Science, Chemistry, Physics, or a related technical field. Strong programming skills in Python, including relevant data libraries (e.g., Pandas, NumPy, SciPy) and workflow automation. Solid background in software engineering principles, including scalable architecture, automated testing, version control workflows (Git), and CI/CD pipelines.
Principal understanding of laboratory data from material synthesis, characterisation, or electrochemical testing is an advantage. Familiarity with interactive visualisation tools (e.g., Plotly, Dash) and foundational machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-Learn). High level of commitment, strong team spirit, and an enthusiasm for continuous learning and professional development.
Very good command of English (spoken and written) is essential, German language skills are an asset. Erfahrung Proven experience in Research Data Management (RDM), metadata standards, and practical implementation of FAIR principles and knowledge of European data management regulations (EU Data Act, EU AI Act). Hands-on experience with semantic web technologies, knowledge representation, and ontologies (e.g., RDF, OWL, JSON-LD, EMMO) is an advantage.
The minimum gross annual salary on a full-time basis (38,5 h / week) according to the collective agreement is EUR 56.784,--. The actual salary will be determined individually, based on your qualifications and experience. In addition, we offer company benefits, flexible working conditions, individual training and career opportunities. Highlights of our employee benefits include a canteen and meal allowance, organic coffee, tea and fruit baskets, preventive healthcare benefits and company doctor, pension fund, additional days off for various life events, family benefits (including two weeks of paid paternity leave “Papa-Weeks” and leisure subsidies), voucher programme, sports, cultural and socialising events and many more, as well as flexitime models (incl. up to 50% home office), travel support for conferences and networking, and individual training and career development opportunities. 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 NumPy Python TensorFlow PyTorch SciPy scikit-learn Dash Git Pandas Plotly RDF 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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