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
Baut Power-BI-Dashboards für KPIs, analysiert Produktionsdaten und prototypisiert erste KI-Lösungen für Prozessverbesserungen.
XALT builds AI solutions that actually work – not just as proof-of-concepts, but in production.
Company:Qualcomm Technologies GmbHJob Area:Interns Group, Interns Group > Workstudy InternGeneral Summary:PhD Company: Qualcomm Technologies
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 the Big Data Analytics Platform.
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At Helsing we deliver AI-based capabilities and the enabling foundation that allow machines to perceive and assist human decision-making.
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Was wir suchen Wir suchen motivierte Studierende, die gemeinsam mit uns das Potenzial einer langjährig aufgebauten Prüfbefund-Datenbank heben möchten.
will include, but are not limited to: - Monitor and research state-of-the-art developments in Edge AI, including model optimization, AI comp
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In Token Factory analytics there is no split into product analysts, ML engineers and data engineers.
Bewirb dich jetzt auf die Stetelle IT / AI Consultant (mwd) - Quereinstieg für Mathematiker & Physiker in.
Contribute Python code and connect model APIs using approved services and help develop agent workflows, AI components and tool integrations.
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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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