greenteg AG develops high-tech thermal sensing solutions for an international customer base.
In order to support the Data Processing & Analytics department, Airbus Defence and Space is looking for an Intern as a Digital-Twin Spacecra
Company:Qualcomm Technologies GmbHJob Area:Interns Group, Interns Group > Workstudy InternGeneral Summary:PhD Company: Qualcomm Technologies
will include, but are not limited to: - Monitor and research state-of-the-art developments in Edge AI, including model optimization, AI comp
is particularly suited to students considering a future PhD who want to develop their ability to investigate research questions, evaluate id
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.
We are looking for a talented graduate to join our AI development team and learn practical AI/ML and data engineering skills.
Zur Unterstützung der Abteilung Tooling Design Single Parts sucht Airbus Helicopters einen Praktikanten / Abschlussarbeit - Titel: KI & Surr
Location EAC, Porz-Wahn, Germany Our team and mission The CAVES and PANGAEA team specialises in training programmes that equip astronauts an
Dive into the world of Agentic AI and Generative AI, explore the potential of LLMs and turn your ideas into innovative AI solutions with us.
Forschung an Multi-Tier-Optical-Circuit-Switching-Netzen für KI-Rechenzentren: Modelle bauen, Traffic-Placement optimieren, Algorithmen simulieren und publizieren.
You ll build the agent stack an AI consultancy runs on.
Your mission dida is a machine learning software company with exciting problems for instance in computer vision and natural language processing.
sensmore is a Berlin/Potsdam-based robotics startup delivering production-proven automation for industries where the world’s raw materials a
Who are we? Cohere is the leading security-first enterprise AI company.
Huawei Heisenberg Research Center (Munich) is responsible for advanced technology research, architectural development, design and strategic
Internship Program Berlin Internship program: 12 - 24 weeks, full-time, in-person in the Berlin office.
Electric drives are at the heart of modern mechatronics, and the industry is rapidly moving toward sensorless control to estimate rotor posi
Erforscht und entwickelt neue 3D-Rekonstruktions- und Novel-View-Synthesis-Verfahren, bewertet sie mit Benchmarks und überführt sie in Produktivsysteme.
Enhance our ML/LLMOps and AI Agent infrastructure for model evaluation, testing, and deployment within an AWS environment.
Forschung an KI-Algorithmen und ihrer Hardware-Umsetzung: Entwurf von Chips für assoziative Speicher, KAN-Beschleuniger und lokale Lernregeln.
Place of Employment: Aachen und Jülich Start Date: To the next possible date Salary: Pay group 13 (80%) TVöD-Bund Application Deadline: The
Interne KI-Nutzung Analyse interner Arbeitsprozesse und Identifikation von Automatisierungspotenzialen Einsatz unseres unternehmensinternen
Hier gestaltest du nicht abstrakte Datenmodelle, sondern schaffst echten Mehrwert.
• Einarbeitung in den Einsatz von Large Language Models (LLMs) mit Agentensystemen, MCP-Schnittstellen, Retrieval-Augmented Generation (RAG)
Weiterentwicklung eines datengetriebenen Modells in PyTorch als Proxy eines CFD Strömungslösers Entwicklung eines semi-parametrischen Modell
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
Valid swiss work permit or EU/EFTA citizenship Strong proficiency in Python with experience in scientific and ML libraries (NumPy, SciPy, scikit-learn, TensorFlow, PyTorch) Solid understanding of data analysis, statistics, and machine learning fundamentals Strong problem-solving skills and ability to translate real-world problems into robust solutions Ability to clearly communicate technical findings to both technical and non-technical stakeholders English proficiency at C1 level
: 20 annual paid vacation days (at 100% workload). A stimulating role in high-tech manufacturing, involving diverse technologies. Collaborative participation in enhancing company processes. An energetic and international team. Flexible worktime, option for 1-2 remote days per week (at 100% workload). Regular social events, teambuilding, BBQ, free coffee and snacks. Interested? – Join us! Send your application CV and a short cover letter. Very important! You will recieve a link with the confirmation email to fill out a form. We will not process your application if you fail to fill out the form.
greenteg AG develops high-tech thermal sensing solutions for an international customer base. In addition to industrial sensors, we provide a unique core body temperature measurement solution (CALERA®) for wearable devices. Our technology enables a wide range of applications, including sports performance optimization, continuous and non-invasive patient monitoring, ovulation tracking, sleep analysis, and early disease detection and is integrated by various international customers on different type of wearable devices.
All solutions are developed, manufactured, and commercialized at our headquarters in Zürich-Rümlang, where interdisciplinary teams collaborate across hardware engineering, embedded systems, and machine learning. Location: Rümlang, Switzerland Workload: 80–100% Start Date: Jan 2027 or upon agreement. Important Note: You will receive a link with the confirmation email to fill out a form.
We will not process your application if you fail to fill out the form. Tasks To strengthen our R&D team, we are seeking a Data Scientist Intern – Wearables & Sensor Data to help our customers along the way to successfully integrate our solutions into their wearable products. You need to understand the needs and demands of each customer and make sure that our machine learning models can meet their requirements.
Main tasks: Calibrate sensors and evaluate the performance of our machine learning models on customer devices. Plan and conduct data collection and validation studies. Analyze, visualize, and report model performance issues observed in real-world usage.
Develop Python tools and pipelines to support customer integration and troubleshooting. Simulate model performance under varying sensor characteristics (e.g., noise, sampling rate, signal quality). (Optional) Support compilation and deployment of embedded ML libraries on target devices.
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