IT & Software Developer jobs in Switzerland

Data Scientist (Computer Vision)
110’000 - 140’000 CHF
noimos ag
Technoparkstrasse 1, Zürich
110’000 - 140’000 CHF
Requirements
Must:
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.
- Language skills: English is a must
Nice to have:
- Industry knowledge in insurance or experience in customer-facing product development. - Experience with Document Processing is a plus. - GermanResponsibilities
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. GPT, LLAMA, BERT)
- 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
Methodology
Description
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.
Benefits
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You can find Data Engineer salaries in Switzerland here.
How many Data Engineer jobs are in Switzerland?
Currently, there are 253 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.
Is Switzerland a good place for Data Engineers?
Switzerland is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Data Engineer jobs in Switzerland?
ANYbotics AG, Infogate AG, noimos ag, Rockstar Recruiting AG, Synergy BTC AG, Finfox, Exeon Analytics among others, are currently hiring for Data roles in Switzerland.
The company with most openings is Rockstar Recruiting AG as they are hiring for 23 different Data Engineer jobs in Switzerland. They are probably quite committed to find good Data Engineers.
The company with most openings is Rockstar Recruiting AG as they are hiring for 23 different Data Engineer jobs in Switzerland. They are probably quite committed to find good Data Engineers.