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 5+ years of experience with data science, with particular focus on Deep Learning and Computer Vision.
  • Furthermore, you gained 2+ years of experience with DevOps and MLOps concepts, ideally using GitHub workflows.
  • 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.

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 turns us into the perfect employer

5 weeks vacation

Choose your hardware

Flexible working hours

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

5 steps until your welcome party

  • You apply via the web form
  • You meet with a recruiter
  • You get to know your supervisor from your department
  • You receive a contract offer
  • Welcome to the team

You want to be part of this inspiring journey? So let's talk!

Vanja Sekulovic

Relationship Manager

Contact & Apply

This position has been closed
Senior Machine Learning Engineer (MLOps)

Thank you very much for your interest. This position has already been successfully filled and is no longer available.

If you leave us your contact details, we will contact you if a similar position becomes available.

Transparency and open communication are important to us. We (noimos AG), the hiring company, hereinafter referred to as "Company") would therefore like to point out to you that parts of our recruitment process are provided by a specialised, external service provider (digitalent ag, hereinafter referred to as "Service Provider").

For the purpose of handling the recruitment process, the service provider collects and processes the personal data of interested parties and applicants. The processing can take place electronically. This is particularly the case if a prospective candidate submits corresponding application documents electronically, for example by e-mail or via a web form on the website. In the case of an application, the service provider transmits the following data to the company:

  • contact details
  • First name, last name
  • Curriculum vitae if applicable
  • Certificates, if applicable
  • all data transmitted by yourself for this purpose, such as the qualifications, work experience, preferences, etc. provided.

If the company concludes an employment contract with an applicant, the transferred data will be stored for the purpose of processing the employment relationship in compliance with the statutory provisions. If no employment contract is concluded between the company and the applicant, the application documents will be deleted six months after notification of the rejection decision latest, provided that no other legitimate interests or contractual obligations are opposed to deletion.

Furthermore, the data protection regulations of the service provider also apply.

We already work with selected recruitment specialists and only accept direct applications. Should we receive applications through personnel service providers, we will treat these as direct applications. We do not plan to expand our supplier base or enter into any other contract with recruitment agencies.

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