Machine Learning Engineer

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.

This is what you contribute

Do you want to shape the vision of noimos from a 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:

• 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.
• You then technically design, create, test and implement complex models (ML incl. computer vision) and end-to-end pipelines.
• At the same time, you will be responsible for managing running ML pipelines, including logging output, prioritizing and implementing bugs.
• You underpin this by writing production-ready code, following DevOps and MLOps concepts.
• You are a team player, co-defining our standards, supporting with code reviews, and discussions around common problems.
  
  

Our tech stack:

• Python and computer vision libraries (e.g., numpy, pandas, OpenCV, scikit-image)
• Frameworks associated with training and evaluation of image recognition tasks (PyTorch, TensorBoard, COCO)
• Databases (SQL)
• Infrastructure (GCP, GPU, Docker, GitHub, Actions, CI/CD)

This turns you into the perfect candidate

For a perfect start in your new team:

• You have already experience with data science, with particular focus on Deep Learning and Computer Vision.
• You enrich your team with strong programming skills in Python, incl. clean/modular and production-ready code.
• You are experienced in working with large data sets and in building auto-scaling ML systems & MLOps.
• Ideally, you are proficient at using GCP Vertex AI and Kubeflow.
• You have good business acumen and ability to communicate technical matters to non-experts.
• You enjoy collaborating in a diverse environment, and developing fit-for-purpose solutions together with PO's, ML Engineers and other developers.
• You're working in a startup spirit (all hands on deck / MVP thinking).
• You are proficient in English, German is a plus.

Benefits

5 weeks vacation

Choose your hardware

Typical office hours with flexibility

Bike room and showers

Home office / remote working 2 days per week

International team

Part time possible

Bonus payment

Air conditioning and standing desk

Very good pension fund/or solutions

Well-connected office

Startup culture & convivial team events