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Data scientist (computer vision)

Zürich
Noimos
Data Scientist
EUR 100’000 - EUR 125’000 pro Jahr
Inserat online seit: 13 Juni
Beschreibung

Who needs your support?

noimos is a Zurich-based, but globally focused, start-up harnessing the potential of ML, computer vision and design to shake up the insurance industry and revolutionize the all-important claims process.


We are an independent subsidiary of one of the largest insurance groups in the world, AXA, enjoying many of the benefits that that brings.

From a personal point of view, noimos is a small group of experienced professionals, with strong background in technology, entrepreneurship, and insurance. We are passionate about making a difference with our products and enjoying ourselves along the way.

The challenges we tackle at noimos are diverse, demanding, and meaningful.



Your Mission: Build the Future

Take ownership of groundbreaking projects and turn visionary ideas into actionable results:


* Develop and implement cutting-edge proofs of concept in Computer Vision.
* Collaborate with Product Owners and stakeholders to align technical solutions with business goals.
* Work in an agile environment, focusing on rapid prototyping and exploratory work.
* Conceptualize and implement data-driven solutions using modern cloud technologies.
* Analyze and optimize existing models and processes to improve efficiency and performance.
* Present findings and prototypes to internal and external stakeholders.


Your contributions will significantly influence our data science endeavours, enhancing our capabilities and enabling data-driven decision-making across various domains. Join us in this exciting opportunity to apply your machine learning skills and contribute to the success of our organization.


Our tech stack includes:

* Python and relevant computer vision libraries (e.g. NumPy, pandas, OpenCV, scikit-image)
* Large Language Models (e.g. Gemini, GPT, LLAMA)
* Frameworks essential for training and evaluating image recognition tasks (e.g. PyTorch, Vertex AI, COCO)
* Databases (SQL, BigQuery)
* Infrastructure components such as GCP, GPU, Docker, GitHub Actions, Terraform, and CI/CD



Your Profile: Innovative and Adaptable

We’re looking for a versatile and forward-thinking professional with:


* Bachelor or Master in Computer Science, Mathematics, or a related field with a focus on Machine Learning or Data Science.
* Strong expertise in Computer Vision and hands-on experience with tools like PyTorch.
* Practical experience with Machine Learning, cloud technologies (e.g., GCP, AWS, Azure), and modern architectures.
* An agile mindset paired with a startup mentality, including the ability to adapt, explore the unknown, and thrive in a dynamic environment.
* Excellent communication skills, capable of translating technical concepts for diverse audiences.
* (Optional) Industry knowledge in insurance or experience in customer-facing product development.
* Experience with Document Processing is a plus.
* Language skills: English is a must; German is a plus.



Excited? Let’s Talk!

If you’re eager to experiment, explore, and make a real impact, we’d love to hear from you. Apply now and let’s shape the future together!


Your Profile: Innovative and Adaptable We’re looking for a versatile and forward-thinking professional with:Bachelor or Master in Computer Science, Mathematics, or a related field with a focus on Machine Learning or Data Science.Strong expertise in Computer Vision and hands-on experience with tools like PyTorch.Practical experience with Machine Learning, cloud technologies (e.g., GCP, AWS, Azure), and modern architectures.An agile mindset paired with a startup mentality, including the ability to adapt, explore the unknown, and thrive in a dynamic environment.Excellent communication skills, capable of translating technical concepts for diverse audiences.(Optional) Industry knowledge in insurance or experience in customer-facing product development.Experience with Document Processing is a plus.Language skills: English is a must; German is a plus. #J-18808-Ljbffr

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