Machine Learning Engineer

NLP PEOPLE; Zürich; Vor Ort; CHF 80’000 - 110’000; Vollzeit

Zusammenfassung

A Zurich-based start-up is seeking an ML Engineer to revolutionize the insurance claims process. You will develop production-ready analytical models and collaborate closely with product owners and stakeholders. The role requires strong skills in Python, deep learning, and computer vision. Enjoy flexibility with remote work options and a vibrant startup culture.

Leistungen

Flexible office hours

Bike room and showers

Remote work two days per week

Qualifikationen

• Experience with data science, especially Deep Learning and Computer Vision.
• Strong programming skills in Python, with clean, modular code.
• Experience with large datasets and building auto-scaling ML systems.

Aufgaben

• Collaborate with stakeholders to design ML solutions.
• Create, test, and implement complex ML models and pipelines.
• Manage running ML pipelines and write production-ready code.

Kenntnisse

Python

Deep Learning

Computer Vision

SQL

Collaboration

Tools

GCP

Docker

GitHub

PyTorch

TensorBoard

Jobbeschreibung

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 a 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.

This is what you contribute

Do you want to shape the vision of noimos from an ML Engineer's perspective?

Side by side with your new colleagues, you will develop efficient, production-ready analytical models that help drive the claims revolution.

Your new mission looks like this :

1. It all starts from the business problem: you collaborate with the Product Owner and other business stakeholders to understand business needs and design fit-for-purpose ML solutions.
2. You then technically design, create, test, and implement complex models (ML including computer vision) and end-to-end pipelines.
3. You will be responsible for managing running ML pipelines, including logging output, prioritizing, and implementing bugs.
4. You underpin this by writing production-ready code, following DevOps and MLOps concepts.
5. You are a team player, co-defining our standards, supporting code reviews, and discussions around common problems.
6. Proficiency in Python and computer vision libraries (e.g., numpy, pandas, OpenCV, scikit-image).
7. Experience with frameworks related to training and evaluation of image recognition tasks (e.g., PyTorch, TensorBoard, COCO).
8. Knowledge of databases (SQL).
9. Experience with infrastructure tools (GCP, GPU, Docker, GitHub, Actions, CI/CD).

This makes you the perfect candidate

For a successful start in your new team:

1. You have experience with data science, especially Deep Learning and Computer Vision.
2. You possess strong programming skills in Python, with clean, modular, and production-ready code.
3. You are experienced in working with large datasets and building auto-scaling ML systems & MLOps.
4. Proficiency with GCP Vertex AI and Kubeflow is a plus.
5. You have good business acumen and can communicate technical matters effectively to non-experts.
6. You enjoy collaborating in a diverse environment and developing fit-for-purpose solutions with PO's, ML Engineers, and other developers.
7. You work with a startup spirit (all hands on deck / MVP thinking).
8. You are proficient in English; German is a plus.

Additional benefits include typical office hours with flexibility, bike room and showers, and the possibility of remote work two days per week.